WorldWideScience

Sample records for library recommendation systems

  1. On the Recommender System for University Library

    Science.gov (United States)

    Fu, Shunkai; Zhang, Yao; Seinminn

    2013-01-01

    Libraries are important to universities, and they have two primary features: readers as well as collections are highly professional. In this study, based on the experimental study with five millions of users' borrowing records, our discussion covers: (1) the necessity of recommender system for university libraries; (2) collaborative filtering (CF)…

  2. Personalized Recommender System for Digital Libraries

    Science.gov (United States)

    Omisore, M. O.; Samuel, O. W.

    2014-01-01

    The huge amount of information available online has given rise to personalization and filtering systems. Recommender systems (RS) constitute a specific type of information filtering technique that present items according to user's interests. In this research, a web-based personalized recommender system capable of providing learners with books that…

  3. Using a Recommender System and Hyperwave Attributes To Augment an Electronic Resource Library.

    Science.gov (United States)

    Fenn, B.; Lennon, J.

    There has been increasing interest over the past few years in systems that help users exchange recommendations about World Wide Web documents. Programs have ranged from those that rely totally on user pre-selection, to others that are based on artificial intelligence. This paper proposes a system that falls between these two extremes, providing…

  4. Recommender systems

    CERN Document Server

    Kembellec, Gérald; Saleh, Imad

    2014-01-01

    Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understan

  5. Integrated library systems.

    OpenAIRE

    Goldstein, C M

    1983-01-01

    The development of integrated library systems is discussed. The four major discussion points are (1) initial efforts; (2) network resources; (3) minicomputer-based systems; and (4) beyond library automation. Four existing systems are cited as examples of current systems.

  6. Stereotype and Most-Popular Recommendations in the Digital Library Sowiport

    OpenAIRE

    Beel, Joeran; Dinesh, Siddharth; Mayr, Philipp; Carevic, Zeljko; Raghvendra, Jain

    2017-01-01

    Stereotype and most-popular recommendations are widely neglected in the research-paper recommender-system and digital-library community. In other domains such as movie recommendations and hotel search, however, these recommendation approaches have proven their effectiveness. We were interested to find out how stereotype and most-popular recommendations would perform in the scenario of a digital library. Therefore, we implemented the two approaches in the recommender system of GESIS’ dig...

  7. An Intelligent Mobile Location-Aware Book Recommendation System that Enhances Problem-Based Learning in Libraries

    Science.gov (United States)

    Chen, Chih-Ming

    2013-01-01

    Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only…

  8. Library Management Systems

    Directory of Open Access Journals (Sweden)

    Ionel Enache

    2012-01-01

    Full Text Available Today’s libraries are faced with the innumerable challenges posed by an information universe on rapid expansion. The increasing expectations and the users’ needs to access faster and easier the relevant information is in a constant relation to the institutional demand for the increasing of operational efficiency. The library integrated systems enable all types of libraries with accessible instruments and the necessary assistance needed in the working flow in order to cope with personal and institutional demands both in present and in future times. The integrated system can be configured in order to meet every type of library policy or procedure thus allowing the creation of a sole working flow.

  9. Recommendation Report: EJournals/EBooks A-Z Management System

    KAUST Repository

    Ramli, Rindra M.

    2014-01-01

    This is a recommendation report for KAUST Library on the Ejournals / EBooks AZ Management systems project. It briefly described the issues faced by the ERM Team, project plan overview and the project findings as well as the recommendation(s).

  10. Distributed Deliberative Recommender Systems

    Science.gov (United States)

    Recio-García, Juan A.; Díaz-Agudo, Belén; González-Sanz, Sergio; Sanchez, Lara Quijano

    Case-Based Reasoning (CBR) is one of most successful applied AI technologies of recent years. Although many CBR systems reason locally on a previous experience base to solve new problems, in this paper we focus on distributed retrieval processes working on a network of collaborating CBR systems. In such systems, each node in a network of CBR agents collaborates, arguments and counterarguments its local results with other nodes to improve the performance of the system's global response. We describe D2ISCO: a framework to design and implement deliberative and collaborative CBR systems that is integrated as a part of jcolibritwo an established framework in the CBR community. We apply D2ISCO to one particular simplified type of CBR systems: recommender systems. We perform a first case study for a collaborative music recommender system and present the results of an experiment of the accuracy of the system results using a fuzzy version of the argumentation system AMAL and a network topology based on a social network. Besides individual recommendation we also discuss how D2ISCO can be used to improve recommendations to groups and we present a second case of study based on the movie recommendation domain with heterogeneous groups according to the group personality composition and a group topology based on a social network.

  11. Electronic Resources Management System: Recommendation Report 2017

    KAUST Repository

    Ramli, Rindra M.

    2017-05-01

    This recommendation report provides an overview of the selection process for the new Electronic Resources Management System. The library has decided to move away from Innovative Interfaces Millennium ERM module. The library reviewed 3 system as potential replacements namely: Proquest 360 Resource Manager, Ex Libris Alma and Open Source CORAL ERMS. After comparing and trialling the systems, it was decided to go for Proquest 360 Resource Manager.

  12. Privacy in Recommender Systems

    NARCIS (Netherlands)

    Jeckmans, Arjan; Beye, Michael; Erkin, Zekeriya; Erkin, Zekeriya; Hartel, Pieter H.; Lagendijk, Reginald; Tang, Qiang; Ramzan, Naeem; van Zwol, Roelof; Lee, Jong-Seok; Clüver, Kai; Hua, Xian-Sheng

    In many online applications, the range of content that is offered to users is so wide that a need for automated recommender systems arises. Such systems can provide a personalized selection of relevant items to users. In practice, this can help people find entertaining movies, boost sales through

  13. Archetypal Game Recommender Systems

    DEFF Research Database (Denmark)

    Sifa, Rafet; Bauckhage, C.; Drachen, Anders

    2014-01-01

    Contemporary users (players, consumers) of digital games have thousands of products to choose from, which makes nding games that t their interests challenging. Towards addressing this challenge, in this paper two dierent formulations of Archetypal Analysis for Top-L recommender tasks using implicit...... feedback are presented: factor- and neighborhood-oriented models. These form the rst application of rec- ommender systems to digital games. Both models are tested on a dataset of 500,000 users of the game distribution platform Steam, covering game ownership and playtime data across more than 3000 games....... Compared to four other recommender models (nearest neighbor, two popularity mod- els, random baseline), the archetype based models provide the highest recall rates showing that Archetypal Analysis can be successfully applied for Top-L recommendation purposes...

  14. Estimating Probabilities in Recommendation Systems

    OpenAIRE

    Sun, Mingxuan; Lebanon, Guy; Kidwell, Paul

    2010-01-01

    Recommendation systems are emerging as an important business application with significant economic impact. Currently popular systems include Amazon's book recommendations, Netflix's movie recommendations, and Pandora's music recommendations. In this paper we address the problem of estimating probabilities associated with recommendation system data using non-parametric kernel smoothing. In our estimation we interpret missing items as randomly censored observations and obtain efficient computat...

  15. SIMULATION OF LIBRARY SYSTEM SERVICE

    Directory of Open Access Journals (Sweden)

    Olga I. Babina

    2015-01-01

    Full Text Available The paper describes the development of a simulation model of the Services system of Research Library of Library and Publishing Complex of Siberian Federal University. Discrete-event simulation and simulation software ExtendSim are used. The focus is on performance indicators of library services.

  16. Library Systems: FY 2013 Public Libraries Survey (Administrative Entity)

    Data.gov (United States)

    Institute of Museum and Library Services — Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2013 data...

  17. Library Systems: FY 2014 Public Libraries Survey (Administrative Entity Data)

    Data.gov (United States)

    Institute of Museum and Library Services — Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2014 data...

  18. Library Systems: FY 2012 Public Libraries Survey (Administrative Entity)

    Data.gov (United States)

    Institute of Museum and Library Services — Find key information on library systems around the United States.These data include imputed values for libraries that did not submit information in the FY 2012 data...

  19. Library system of Italy

    Directory of Open Access Journals (Sweden)

    Nataša Gerbec

    2003-01-01

    Full Text Available In the European extent, Italy is the cradle of libraries and library sciences. In the past, Italian national public libraries played an important role through their vast book treasury. But only during the last thirty years have public libraries been developed following the Anglo-American public library model. Italy does not have any uniform or general legislation concerning libraries. On the state level, this area is regulated by some separate acts, while on the regional level there is a collection of various acts and regulations. Libraries are not strictly divided into general categories. It is required that the professionals engaged in Italian libraries should have secondary or university education. The level of their professional tasks depends on the type of library and its capacity. The competency for the development in the field of librarianship is assigned to The Ministry of Cultural and Environment Heritage as well as to its subordinate institutions (Central Institute for the Union catalogue of Italian Libraries and for Bibliographic Information, Central Institute for Book Pathology, Observatory for International Libraries Programmes.

  20. Decision Support Systems in Libraries.

    Science.gov (United States)

    Heindel, Allan; Napier, H. Albert

    Following a review of the contributions of computers and managerial science/operations research to the management of libraries, this paper introduces the concept of decision support systems. DSS, a blending of these techniques, can lead to more effective decisions by library managers. A case study of the utilization of a DSS in the budgeting…

  1. Recommender system for Slovene electronic books

    OpenAIRE

    Žitnik, Lovro

    2016-01-01

    The thesis describes a prototype of recommender system for Slovenian e-library. Data includes multitude of books in the ePub format, anonymized list of users and a set of transactions between the books and users. Book content was tokenized, POS-tagged and lemmatized. Data extraction methods were used to extract numerical stylometric features of books. Features were evaluated with SPEC and Laplacian scores. We reduced dimensionality of feature vectors of both books and users and clustered them...

  2. Recommendation systems in software engineering

    CERN Document Server

    Robillard, Martin P; Walker, Robert J; Zimmermann, Thomas

    2014-01-01

    With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data.This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: "Part I - Techniques" introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow.?"Part II - Evaluation" summarizes methods and experimental designs for evaluating recommendations in software engineering.?"Part III - Applications" describes needs, issues and solution concepts involved in entire recommendation systems for specific software engineering tasks, fo...

  3. Our Stories Transforming Our Libraries: The York County Library System

    Directory of Open Access Journals (Sweden)

    Mina Edmondson

    2016-11-01

    Full Text Available These narratives chronicle the authors’ journeys to collaborate and discover the transformative impact that stories have on library culture and library staff. This study describes a research collaboration between York County Libraries and Penn State York. In Phase I, we collected stories from library staff as the library system was being challenged to reimage public libraries for the future. The major themes and types of organizational stories identified in the initial narrative project were presented during a county-wide all-staff in-service training. The library District Consultant (first author and the Penn State professor (second author then facilitated a workshop designed to lead staff in their exploration of these topics and generate a written record of their storytelling/discussions. This data became the basis for Phase II of the project and allowed the system to strategically assess its evolving culture and identity.

  4. Multi-Criteria Recommender Systems

    Science.gov (United States)

    Adomavicius, Gediminas; Manouselis, Nikos; Kwon, Youngok

    This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of multi-criteria rating recommenders - techniques that provide recommendations by modelling a user's utility for an item as a vector of ratings along several criteria. A review of current algorithms that use multi-criteria ratings for calculating predictions and generating recommendations is provided. Finally, the chapter concludes with a discussion on open issues and future challenges for the class of multi-criteria rating recommenders.

  5. Recommendation System for Adaptive Learning.

    Science.gov (United States)

    Chen, Yunxiao; Li, Xiaoou; Liu, Jingchen; Ying, Zhiliang

    2018-01-01

    An adaptive learning system aims at providing instruction tailored to the current status of a learner, differing from the traditional classroom experience. The latest advances in technology make adaptive learning possible, which has the potential to provide students with high-quality learning benefit at a low cost. A key component of an adaptive learning system is a recommendation system, which recommends the next material (video lectures, practices, and so on, on different skills) to the learner, based on the psychometric assessment results and possibly other individual characteristics. An important question then follows: How should recommendations be made? To answer this question, a mathematical framework is proposed that characterizes the recommendation process as a Markov decision problem, for which decisions are made based on the current knowledge of the learner and that of the learning materials. In particular, two plain vanilla systems are introduced, for which the optimal recommendation at each stage can be obtained analytically.

  6. Library Systems Office Organization. SPEC Kit.

    Science.gov (United States)

    Muir, Scott P., Comp.; Lim, Adriene, Comp.

    2002-01-01

    This SPEC (Systems and Procedures Exchange Center) Kit presents the results of a survey of Association of Research Libraries (ARL) member libraries designed to investigate the changes in research library systems operations since 1994 and to identify future trends. A total of 70 of 124 ARL member libraries responded to the survey. A copy of the…

  7. Invenio as a library system

    CERN Multimedia

    CERN. Geneva

    2017-01-01

    As a join2 partner, DESY library uses Invenio already for it's publication database and institutional repository. The next logical step is to also migrate the library catalogue from the currently used Aleph system to Invenio. Starting out with a short introduction of how to migrate Aleph. This includes the migration of bibliographic data as well as holdings but also movement data, current loans etc. The talk also outlines some of the new additions required to run Invenio as an ILS at DESY based on the infrastructure already existing. E.g. it is necessary for DESY to interact with RFID based self service terminals, barcode based library cards and external patrons who have not DESY account etc.

  8. RECOMMENDER SYSTEMS IN SOCIAL NETWORKS

    Directory of Open Access Journals (Sweden)

    Cleomar Valois Batista Jr

    2011-12-01

    Full Text Available The continued and diversified growth of social networks has changed the way in which users interact with them. With these changes, what once was limited to social contact is now used for exchanging ideas and opinions, creating the need for new features. Users have so much information at their fingertips that they are unable to process it by themselves; hence, the need to develop new tools. Recommender systems were developed to address this need and many techniques were used for different approaches to the problem. To make relevant recommendations, these systems use large sets of data, not taking the social network of the user into consideration. Developing a recommender system that takes into account the social network of the user is another way of tackling the problem. The purpose of this project is to use the theory of six degrees of separation (Watts 2003 amongst users of a social network to enhance existing recommender systems.

  9. Integrated Library System (ILS): An Option for Library and ...

    African Journals Online (AJOL)

    The purpose of this paper is to review the capability of integrated library system as an option for managing library information resources using Koha ILS used at Babcock University as a case study. The paper is a review of the functions and performance of Koha ILS. It also includes personal experiences of librarians and the ...

  10. Integrated Library System Implementation: The Bowen University ...

    African Journals Online (AJOL)

    The purpose of the paper is to share the Bowen University Library experiences running and administering Koha Integrated Library System (ILS) for about nine years. The paper describes the application of the software by the staff of Bowen University Library. The authors perused the library annual reports and the quarterly ...

  11. Introduction on health recommender systems.

    Science.gov (United States)

    Sanchez-Bocanegra, C L; Sanchez-Laguna, F; Sevillano, J L

    2015-01-01

    People are looking for appropriate health information which they are concerned about. The Internet is a great resource of this kind of information, but we have to be careful if we don't want to get harmful info. Health recommender systems are becoming a new wave for apt health information as systems suggest the best data according to the patients' needs.The main goals of health recommender systems are to retrieve trusted health information from the Internet, to analyse which is suitable for the user profile and select the best that can be recommended, to adapt their selection methods according to the knowledge domain and to learn from the best recommendations.A brief definition of recommender systems will be given and an explanation of how are they incorporated in the health sector. A description of the main elementary recommender methods as well as their most important problems will also be made. And, to finish, the state of the art will be described.

  12. Avoiding congestion in recommender systems

    Science.gov (United States)

    Ren, Xiaolong; Lü, Linyuan; Liu, Runran; Zhang, Jianlin

    2014-06-01

    Recommender systems use the historical activities and personal profiles of users to uncover their preferences and recommend objects. Most of the previous methods are based on objects’ (and/or users’) similarity rather than on their difference. Such approaches are subject to a high risk of increasingly exposing users to a narrowing band of popular objects. As a result, a few objects may be recommended to an enormous number of users, resulting in the problem of recommendation congestion, which is to be avoided, especially when the recommended objects are limited resources. In order to quantitatively measure a recommendation algorithm's ability to avoid congestion, we proposed a new metric inspired by the Gini index, which is used to measure the inequality of the individual wealth distribution in an economy. Besides this, a new recommendation method called directed weighted conduction (DWC) was developed by considering the heat conduction process on a user-object bipartite network with different thermal conductivities. Experimental results obtained for three benchmark data sets showed that the DWC algorithm can effectively avoid system congestion, and greatly improve the novelty and diversity, while retaining relatively high accuracy, in comparison with the state-of-the-art methods.

  13. Hybrid context aware recommender systems

    Science.gov (United States)

    Jain, Rajshree; Tyagi, Jaya; Singh, Sandeep Kumar; Alam, Taj

    2017-10-01

    Recommender systems and context awareness is currently a vital field of research. Most hybrid recommendation systems implement content based and collaborative filtering techniques whereas this work combines context and collaborative filtering. The paper presents a hybrid context aware recommender system for books and movies that gives recommendations based on the user context as well as user or item similarity. It also addresses the issue of dimensionality reduction using weighted pre filtering based on dynamically entered user context and preference of context. This unique step helps to reduce the size of dataset for collaborative filtering. Bias subtracted collaborative filtering is used so as to consider the relative rating of a particular user and not the absolute values. Cosine similarity is used as a metric to determine the similarity between users or items. The unknown ratings are calculated and evaluated using MSE (Mean Squared Error) in test and train datasets. The overall process of recommendation has helped to personalize recommendations and give more accurate results with reduced complexity in collaborative filtering.

  14. DESCRIPTION OF CLASSIFICATION SYSTEMS OF LIBRARY CATALOGUES

    Directory of Open Access Journals (Sweden)

    Zoya V. Savchenko

    2010-08-01

    Full Text Available The description of the most widespread universal library classifications (Decimal Classification of D'yui (DKD, Universal Decimal Classification (UDK, Classification of Library of Congress (KBK, Library-Bibliographic Classification (BBK are analysed in the article. Histories of these systems development and features of their use in modern informative services as well as the example of construction of electronic library classifiers on the base of the library classifications of DKD and KBK are given.

  15. DESCRIPTION OF CLASSIFICATION SYSTEMS OF LIBRARY CATALOGUES

    OpenAIRE

    Zoya V. Savchenko

    2010-01-01

    The description of the most widespread universal library classifications (Decimal Classification of D'yui (DKD), Universal Decimal Classification (UDK), Classification of Library of Congress (KBK), Library-Bibliographic Classification (BBK)) are analysed in the article. Histories of these systems development and features of their use in modern informative services as well as the example of construction of electronic library classifiers on the base of the library classifications of DKD and KBK...

  16. Mining and representing recommendations in actively evolving recommender systems

    DEFF Research Database (Denmark)

    Assent, Ira

    2010-01-01

    Recommender systems provide an automatic means of filtering out interesting items, usually based on past similarity of user ratings. In previous work, we have suggested a model that allows users to actively build a recommender network. Users express trust, obtain transparency, and grow (anonymous......) recommender connections. In this work, we propose mining such active systems to generate easily understandable representations of the recommender network. Users may review these representations to provide active feedback. This approach further enhances the quality of recommendations, especially as topics...... of interest change over time. Most notably, it extends the amount of control users have over the model that the recommender network builds of their interests....

  17. The Integrated Library System: A Historical Overview.

    Science.gov (United States)

    Dick, Richard S.

    1984-01-01

    Discusses evolution of Integrated Library System (ILS) since its beginning at National Library of Medicine, highlighting events leading to ILS development; formative design stages, formation of Online Computer System; installation of ILS version 1.0 at Pentagon library; development of version 2.0, formation of Avatar Systems; OCLC's acquisition of…

  18. Ubiquitous Multicriteria Clinic Recommendation System.

    Science.gov (United States)

    Chen, Toly

    2016-05-01

    Advancements in information, communication, and sensor technologies have led to new opportunities in medical care and education. Patients in general prefer visiting the nearest clinic, attempt to avoid waiting for treatment, and have unequal preferences for different clinics and doctors. Therefore, to enable patients to compare multiple clinics, this study proposes a ubiquitous multicriteria clinic recommendation system. In this system, patients can send requests through their cell phones to the system server to obtain a clinic recommendation. Once the patient sends this information to the system, the system server first estimates the patient's speed according to the detection results of a global positioning system. It then applies a fuzzy integer nonlinear programming-ordered weighted average approach to assess four criteria and finally recommends a clinic with maximal utility to the patient. The proposed methodology was tested in a field experiment, and the experimental results showed that it is advantageous over two existing methods in elevating the utilities of recommendations. In addition, such an advantage was shown to be statistically significant.

  19. Scientific and educational recommender systems

    Science.gov (United States)

    Guseva, A. I.; Kireev, V. S.; Bochkarev, P. V.; Kuznetsov, I. A.; Philippov, S. A.

    2017-01-01

    This article discusses the questions associated with the use of reference systems in the preparation of graduates in physical function. The objective of this research is creation of model of recommender system user from the sphere of science and education. The detailed review of current scientific and social network for scientists and the problem of constructing recommender systems in this area. The result of this study is to research user information model systems. The model is presented in two versions: the full one - in the form of a semantic network, and short - in a relational form. The relational model is the projection in the form of semantic network, taking into account the restrictions on the amount of bonds that characterize the number of information items (research results), which interact with the system user.

  20. An automated library financial management system

    Science.gov (United States)

    Dueker, S.; Gustafson, L.

    1977-01-01

    A computerized library acquisition system developed for control of informational materials acquired at NASA Ames Research Center is described. The system monitors the acquisition of both library and individual researchers' orders and supplies detailed financial, statistical, and bibliographical information. Applicability for other libraries and the future availability of the program is discussed.

  1. Afghanistan Digital Library Initiative: Revitalizing an Integrated Library System

    Directory of Open Access Journals (Sweden)

    Yan HAN

    2007-12-01

    Full Text Available This paper describes an Afghanistan digital library initiative of building an integrated library system (ILS for Afghanistan universities and colleges based on open-source software. As one of the goals of the Afghan eQuality Digital Libraries Alliance, the authors applied systems analysis approach, evaluated different open-source ILSs, and customized the selected software to accommodate users’ needs. Improvements include Arabic and Persian language support, user interface changes, call number label printing, and ISBN-13 support. To our knowledge, this ILS is the first at a large academic library running on open-source software.

  2. A hospital microwave system for library telecommunication.

    Science.gov (United States)

    Hempel, R M; Ward, B A

    1988-01-01

    The medical library of the Olin E. Teague Veterans' Center needed access to an online integrated library system at a site eighty miles away. The center already operated a tower-to-tower microwave for teleconferencing and the library was able to use this as a temporary means of communication with the distant online system. The microwave link performed satisfactorily, leading to consideration of its use for other library applications. PMID:3224225

  3. Automated Circulation Systems in Public Libraries.

    Science.gov (United States)

    Simpson, George A.

    Data analysis of a questionnaire completed by 38 public libraries in the United States and Canada who possess "turnkey" automated circulation systems is presented. Results show that libraries are enthusiastic about benefits to staff and patrons. For libraries with increasing circulation, the computer allows more time to handle additional work load…

  4. Automation of library system: A study of John Harris library ...

    African Journals Online (AJOL)

    This study cover ed the automation of Circulation and OPAC operation of John Harris library, University of Benin. System analysis of the existing system was carried out; the elicited information was employed in building a web - based application programme, designed, developed a nd implemented in PHP and MySQL ...

  5. A Flexible Electronic Commerce Recommendation System

    Science.gov (United States)

    Gong, Songjie

    Recommendation systems have become very popular in E-commerce websites. Many of the largest commerce websites are already using recommender technologies to help their customers find products to purchase. An electronic commerce recommendation system learns from a customer and recommends products that the customer will find most valuable from among the available products. But most recommendation methods are hard-wired into the system and they support only fixed recommendations. This paper presented a framework of flexible electronic commerce recommendation system. The framework is composed by user model interface, recommendation engine, recommendation strategy model, recommendation technology group, user interest model and database interface. In the recommender strategy model, the method can be collaborative filtering, content-based filtering, mining associate rules method, knowledge-based filtering method or the mixed method. The system mapped the implementation and demand through strategy model, and the whole system would be design as standard parts to adapt to the change of the recommendation strategy.

  6. How to Evaluate Integrated Library Automation Systems.

    Science.gov (United States)

    Powell, James R.; Slach, June E.

    1985-01-01

    This paper describes methodology used in compiling a list of candidate integrated library automation systems at a corporate technical library. Priorities for automation, identification of candidate systems, the filtering process, information for suppliers, software and hardware considerations, on-site evaluations, and final system selection are…

  7. Recommender systems in knowledge-mining

    Science.gov (United States)

    Volna, Eva

    2017-07-01

    The subject of the paper is to analyse the possibilities of application of recommender systems in the field of data mining. The work focuses on three basic types of recommender systems (collaborative, content-based and hybrid). The goal of the article is to evaluate which of these three concepts of recommender systems provides forecast with the lowest error rate in the domain of recommending movies. This target is fulfilled by the practical part of the work - at first, the own recommender system was designed and created, capable of obtaining movies recommendation from the database based on the user's preferences. Next, we verified experimentally which recommender system produces more accurate results.

  8. Planning Process and Considerations for a Statewide Academic Libraries Information System in Ohio

    OpenAIRE

    Hwa-Wei Lee

    1989-01-01

    無Academic libraries in Ohio have led in cooperative library automation, with the establishment of OCLC in 1967 as one example. Beyond OCLC, which provides online shared cataloging, interlibrary loan and the world's largest bibliographic database, many have developed or acquired local systems to meet the needs of individual libraries. A 1986 study by the state Board of Regents recommended development of an Ohio Libraries Information System (OLIS) which would permit students and faculty at any ...

  9. ALEPH: A Bilingual Integrated Library System.

    Science.gov (United States)

    Steinberger, Naomi M.

    1994-01-01

    Discusses the ALEPH system at the library of the Jewish Theological Seminary (New York), a fully integrated library system with English/Hebrew capabilities. The three main areas of experimentation are considered: installation and evaluation; dealing with a foreign vendor; and creating a network. (JLB)

  10. SECURING DIGITIZED LIBRARY CIRCULATORY SYSTEM

    African Journals Online (AJOL)

    user

    1, 2, 5 DEPARTMENT OF COMPUTER ENGINEERING, FEDERAL UNIVERSITY OF TECHNOLOGY, MINNA, NIGER STATE. NIGERIA. ... errors in task execution, laborious routines with over dependency of human involvement in Library operations. In this paper .... (EUART) and Serial Peripheral Interface (SPI) modules.

  11. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefévre, Thomas

    2011-01-01

    to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles which emphasizes......The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relating...... feedback from recommenders that the user has agreed with in the past. This exposes the problem that most recommenders are not equally competent in all subject areas. The first WRS prototype did not include an evaluation of the areas of expertise of recommenders, so the trust metric used in the article...

  12. Classification of Recommender Expertise in the Wikipedia Recommender System

    DEFF Research Database (Denmark)

    Jensen, Christian D.; Pilkauskas, Povilas; Lefevre, Thomas

    2011-01-01

    to the quality of articles. The Wikipedia Recommender System (WRS) was developed to help users determine the credibility of articles based on feedback from other Wikipedia users. The WRS implements a collaborative filtering system with trust metrics, i.e., it provides a rating of articles "which emphasizes......The Wikipedia is a web-based encyclopedia, written and edited collaboratively by Internet users. The Wikipedia has an extremely open editorial policy that allows anybody, to create or modify articles. This has promoted a broad and detailed coverage of subjects, but also introduced problems relating...... feedback from recommenders that the user has agreed with in the past. This exposes the problem that most recommenders are not equally competent in all subject areas. The first WRS prototype did not include an evaluation of the areas of expertise of recommenders, so the trust metric used in the article...

  13. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

    Manouselis, Nikos; Drachsler, Hendrik; Vuorikari, Riina; Hummel, Hans; Koper, Rob

    2010-01-01

    Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender Systems in Technology Enhanced Learning. In P. B. Kantor, F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 387-415). Berlin: Springer.

  14. Library Systems: FY 1992-2012 Public Libraries Survey Trends (Administrative Entity)

    Data.gov (United States)

    Institute of Museum and Library Services — Find key information on trends in library systems around the United States from FY 1992 to FY 2012.These data include imputed values for libraries that did not...

  15. Content Management Systems: Trends in Academic Libraries

    Directory of Open Access Journals (Sweden)

    Ruth Sara Connell

    2013-06-01

    Full Text Available Academic libraries, and their parent institutions, are increasingly using Content Management Systems (CMSs for website management.  In this study, the author surveyed academic library web managers from four-year institutions to discover whether they had adopted CMSs, which tools they were using, and their satisfaction with their website management system.  Other issues, such as institutional control over library website management, were raised.   The survey results showed that CMS satisfaction levels vary by tool, and that many libraries do not have input into the selection their CMS because the determination is made at an institutional level.  These findings will be helpful for decision makers involved in the selection of CMSs for academic libraries.

  16. Panorama of Recommender Systems to Support Learning

    NARCIS (Netherlands)

    Drachsler, Hendrik; Verbert, Katrien; Santos, Olga C.; Manouselis, Nikos

    2015-01-01

    This chapter presents an analysis of recommender systems in TechnologyEnhanced Learning along their 15 years existence (2000-2014). All recommender systems considered for the review aim to support educational stakeholders by personalising the learning process. In this meta-review 82 recommender

  17. Experimental OAI-Based Digital Library Systems

    Science.gov (United States)

    Nelson, Michael L. (Editor); Maly, Kurt (Editor); Zubair, Mohammad (Editor); Rusch-Feja, Diann (Editor)

    2002-01-01

    The objective of Open Archives Initiative (OAI) is to develop a simple, lightweight framework to facilitate the discovery of content in distributed archives (http://www.openarchives.org). The focus of the workshop held at the 5th European Conference on Research and Advanced Technology for Digital Libraries (ECDL 2001) was to bring researchers in the area of digital libraries who are building OAI based systems so as to share their experiences, problems they are facing, and approaches they are taking to address them. The workshop consisted of invited talks from well-established researchers working in building OAI based digital library system along with short paper presentations.

  18. A general framework for intelligent recommender systems

    Directory of Open Access Journals (Sweden)

    Jose Aguilar

    2017-07-01

    Full Text Available In this paper, we propose a general framework for an intelligent recommender system that extends the concept of a knowledge-based recommender system. The intelligent recommender system exploits knowledge, learns, discovers new information, infers preferences and criticisms, among other things. For that, the framework of an intelligent recommender system is defined by the following components: knowledge representation paradigm, learning methods, and reasoning mechanisms. Additionally, it has five knowledge models about the different aspects that we can consider during a recommendation: users, items, domain, context and criticisms. The mix of the components exploits the knowledge, updates it and infers, among other things. In this work, we implement one intelligent recommender system based on this framework, using Fuzzy Cognitive Maps (FCMs. Next, we test the performance of the intelligent recommender system with specialized criteria linked to the utilization of the knowledge in order to test the versatility and performance of the framework.

  19. TWIN: Personality-based Intelligent Recommender System

    OpenAIRE

    Roshchina, Alexandra; Cardiff, John; Rosso, Paolo

    2015-01-01

    This paper presents the Tell me What I Need (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or twin ) people with similar personality types which we estimate from their writings. In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-based Recommender System user profile modelling. In this way it creates a bridge between the efforts...

  20. Metadata In, Library Out. A Simple, Robust Digital Library System

    Directory of Open Access Journals (Sweden)

    Tonio Loewald

    2010-06-01

    Full Text Available Tired of being held hostage to expensive systems that did not meet our needs, the University of Alabama Libraries developed an XML schema-agnostic, light-weight digital library delivery system based on the principles of "Keep It Simple, Stupid!" Metadata and derivatives reside in openly accessible web directories, which support the development of web agents and new usability software, as well as modification and complete retrieval at any time. The file name structure is echoed in the file system structure, enabling the delivery software to make inferences about relationships, sequencing, and complex object structure without having to encapsulate files in complex metadata schemas. The web delivery system, Acumen, is built of PHP, JSON, JavaScript and HTML5, using MySQL to support fielded searching. Recognizing that spreadsheets are more user-friendly than XML, an accompanying widget, Archivists Utility, transforms spreadsheets into MODS based on rules selected by the user. Acumen, Archivists Utility, and all supporting software scripts will be made available as open source.

  1. Systems Analysis as a Prelude to Library Automation

    Science.gov (United States)

    Carter, Ruth C.

    1973-01-01

    Systems analysis, as a prelude to library automation, is an inevitable commonplace fact of life in libraries. Maturation of library automation and the systems analysis which precedes its implementation is observed in this article. (55 references) (Author/TW)

  2. The Definition of Novelty in Recommendation System

    Directory of Open Access Journals (Sweden)

    Liang Zhang

    2013-01-01

    Full Text Available With the development of information technology and application of the Internet, People gradually entered the time of information overload from information scarcity. User satisfaction with recommender systems is related not only to how accurately the system recommends but also to how much it supports the user’s decision making. Novelty is one of the important metrics of customer satisfaction. There is an increasing realization in the Recommender Systems (RS field that novelty is fundamental qualities of recommendation effectiveness and added-value. This paper combed research results about definition and algorithm of novel recommendation, and starting from the meaning of "novel", defined novelty of item in recommendation system. Experiment proved using the definition of novelty to recommend can effectively recognize the item that the user is familiar with and ensure certain accuracy.

  3. Awareness and usage of automated library systems by patrons in ...

    African Journals Online (AJOL)

    The emergence of automated information systems in libraries has changed the landscape of library environment. This paper assessed awareness and usage of automated information systems in two academic libraries in Nigeria; University of Lagos Main Library and Keneth Dike Library, University of Ibadan. Survey ...

  4. Group Recommender System for Restaurant Lunches

    OpenAIRE

    Hallström, Erik

    2013-01-01

    A group recommender system for lunch restaurants is developed. The user interface is an Android application which is run on a smartphone. The system features a novel approach for implicit rating collection when a user browses a list of item descriptions. The individual recommendation is based on extracting and comparing tf-idf feature vectors of menu texts as well as individual rankings of the restaurants. The group recommender system works by aggregating the individual estimated scores of th...

  5. An Agent Framework of Tourism Recommender System

    Directory of Open Access Journals (Sweden)

    Jia Zhi Yang

    2016-01-01

    Full Text Available This paper proposes the development of an Agent framework for tourism recommender system. The recommender system can be featured as an online web application which is capable of generating a personalized list of preference attractions for tourists. Traditional technologies of classical recommender system application domains, such as collaborative filtering, content-based filtering and content-based filtering are effectively adopted in the framework. In the framework they are constructed as Agents that can generate recommendations respectively. Recommender Agent can generate recommender information by integrating the recommendations of Content-based Agent, collaborative filtering-based Agent and constraint-based Agent. In order to make the performance more effective, linear combination method of data fusion is applied. User interface is provided by the tourist Agent in form of webpages and mobile app.

  6. RECOMMENDER SYSTEMS IN E-COMMERCE APPLICATIONS

    Directory of Open Access Journals (Sweden)

    Gyöngyvér KOVÁCS

    2016-12-01

    Full Text Available One of the major problem with online shopping is finingd the right product, because finding the right product presumes that we know its name, but in most cases it is not so. For this reason the users need help in the process of online searching/shopping. Recommender systems have became a popular technique and strategy for helping users to select desirable products or services. In the past few years the recommender systems have changed from novelties used by a few big e-commerce sites, to serious business tools that are re-shaping the world of e-commerce. In this paper, we provide a brief overview of the classification of recommendation systems based on technology used to create recommendations, and inputs they need from the customers. Furthermore we analyze a few algorithms used by recommender systems and we will also present some marketing recommender systems and their comparative analysis.

  7. Using SemanticScuttle for managing lists of recommended resources on a library website

    Directory of Open Access Journals (Sweden)

    Tomasz Neugebauer

    2015-01-01

    Full Text Available Concordia University Libraries has adopted SemanticScuttle, an open source and locally-hosted PHP/MySQL application for social bookmarking, as an alternative to Delicious for managing lists of recommended resources on the library’s website. Two implementations for displaying feed content from SemanticScuttle were developed: (1 using the Google Feed API and (2 using direct SQL access to SemanticScuttle’s database.

  8. Uncovering the information core in recommender systems.

    Science.gov (United States)

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-08-21

    With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.

  9. Uncovering the information core in recommender systems

    Science.gov (United States)

    Zeng, Wei; Zeng, An; Liu, Hao; Shang, Ming-Sheng; Zhou, Tao

    2014-08-01

    With the rapid growth of the Internet and overwhelming amount of information that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in online systems. So far, much attention has been paid to designing new recommendation algorithms and improving existent ones. However, few works considered the different contributions from different users to the performance of a recommender system. Such studies can help us improve the recommendation efficiency by excluding irrelevant users. In this paper, we argue that in each online system there exists a group of core users who carry most of the information for recommendation. With them, the recommender systems can already generate satisfactory recommendation. Our core user extraction method enables the recommender systems to achieve 90% of the accuracy of the top-L recommendation by taking only 20% of the users into account. A detailed investigation reveals that these core users are not necessarily the large-degree users. Moreover, they tend to select high quality objects and their selections are well diversified.

  10. The Education of Library Systems Analysts for the Nineties.

    Science.gov (United States)

    Boyce, Bert R.; Heim, Kathleen M.

    1988-01-01

    Discussion of the education of library systems analysts for the 1990s examines: (1) what library science schools have done; (2) necessary skills and competencies; and (3) what library science schools can do. (13 references) (MES)

  11. DEVELOPMENT OF A GENERIC RECOMMENDER SYSTEM

    Directory of Open Access Journals (Sweden)

    Dan Munteanu

    2004-12-01

    Full Text Available his paper presents a recommender system for textual documents taken from web (given as bookmarks. The system uses for classification a combination of content, event and collaborative filters and for recommendation a modified Pearson-r algorithm. It uses implicit and explicit feedback for evaluating documents.

  12. Recommender Systems in Technology Enhanced Learning

    NARCIS (Netherlands)

    Manouselis, Nikos; Drachsler, Hendrik; Verbert, Katrien; Santos, Olga

    2010-01-01

    Manouselis, N., Drachsler, H., Verbert, K., & Santos, C. S. (Eds.) (2010). Recommender System in Technology Enhanced Learning. Elsevier Procedia Computer Science: Volume 1, Issue 2. Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning (RecSysTEL). September, 29-30,

  13. Internal Control Systems in the Library Environment.

    Science.gov (United States)

    Begg, Robert T.

    1985-01-01

    Examines system for safeguarding assets and guaranteeing reliability of library's financial records within context of management functions that comprise accounting controls: planning by budget or other standard of comparison; operation of effective accounting and record-keeping system; personnel management practices. Cash controls as example of…

  14. Recommendation-Aware Smartphone Sensing System

    Directory of Open Access Journals (Sweden)

    Mu-Yen Chen

    2014-12-01

    Full Text Available The context-aware concept is to reduce the gap between users and information systems so that the information systems actively get to understand users’ context and demand and in return provide users with better experience. This study integrates the concept of context-aware with association algorithms to establish the context-aware recommendation systems (CARS. The CARS contains three modules and provides the product recommendations for users with their smartphone. First, the simple RSSI Indoor localization module (SRILM locates the user position and detects the context information surrounding around users. Second, the Apriori recommendation module (ARM provides effective recommended product information for users through association rules mining. The appropriate product information can be received effectiveness and greatly enhanced the recommendation service.

  15. Recommender Systems for the Social Web

    CERN Document Server

    Pazos Arias, José J; Díaz Redondo, Rebeca P

    2012-01-01

    The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the  Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and  Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with.  If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web...

  16. The Road Ahead for Library Classification Systems.

    Science.gov (United States)

    Mitchell, Joan S.

    1997-01-01

    Discusses knowledge organization tools in the context of seven challenges facing library classification systems. Highlights include revisions to the Dewey Decimal Classification, the Windows-based CD-ROM version of Dewey, support for machine-assisted classification, multilingual use of Dewey, use of Dewey as a general knowledge organization and…

  17. Recent developments in affective recommender systems

    Science.gov (United States)

    Katarya, Rahul; Verma, Om Prakash

    2016-11-01

    Recommender systems (RSs) are playing a significant role since 1990s as they provide relevant, personalized information to the users over the internet. Lots of work have been done in information filtering, utilization, and application related to RS. However, an important area recently draws our attention which is affective recommender system. Affective recommender system (ARS) is latest trending area of research, as publication in this domain are few and recently published. ARS is associated with human behaviour, human factors, mood, senses, emotions, facial expressions, body gesture and physiological with human-computer interaction (HCI). Due to this assortment and various interests, more explanation is required, as it is in premature phase and growing as compared to other fields. So we have done literature review (LR) in the affective recommender systems by doing classification, incorporate reputed articles published from the year 2003 to February 2016. We include articles which highlight, analyse, and perform a study on affective recommender systems. This article categorizes, synthesizes, and discusses the research and development in ARS. We have classified and managed ARS papers according to different perspectives: research gaps, nature, algorithm or method adopted, datasets, the platform on executed, types of information and evaluation techniques applied. The researchers and professionals will positively support this survey article for understanding the current position, research in affective recommender systems and will guide future trends, opportunity and research focus in ARS.

  18. Machine learning paradigms applications in recommender systems

    CERN Document Server

    Lampropoulos, Aristomenis S

    2015-01-01

    This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the monograph at hand. Specifically, the books approach is based on one-class classification methodologies that have been appearing in recent machine learning research. The blending of recommender systems and one-class classification provides a new very fertile field for research, innovation and development with potential applications in “big data” as well as “sparse data” problems. The book will be useful to researchers, practitioners and graduate students dealing with problems of extensive and complex data. It is intended for both the expert/researcher in the fields of Pattern Recognition, Machine Learning and ...

  19. Recommendations for the LHC safety alarm system

    CERN Document Server

    Laeger, H

    1999-01-01

    A working group was set up to define the LHC safety alarm system, also known as Alarm-of-Level-3-System (AL3S). The mandate asked for recommendations to be elaborated on four items: the overall concept of the AL3S for machine and experiments, the transmission and display of safety alarms, the AL3S during civil engineering construction, and the transition from the present LEP to the final LHC safety alarm system. The members of the working group represented a wide range of interest and experience including the CERN Fire Brigade, safety officers from experiments and machines, and specialists for safety and control systems. The recommendations highlight the need for a clear definition of responsibilities and procedures, well-engineered homogeneous systems across CERN, and they point to several important issues outside the mandate of the working group. These recommendations were presented, discussed and accepted by several CERN and LHC committees.

  20. Weighted hybrid technique for recommender system

    Science.gov (United States)

    Suriati, S.; Dwiastuti, Meisyarah; Tulus, T.

    2017-12-01

    Recommender system becomes very popular and has important role in an information system or webpages nowadays. A recommender system tries to make a prediction of which item a user may like based on his activity on the system. There are some familiar techniques to build a recommender system, such as content-based filtering and collaborative filtering. Content-based filtering does not involve opinions from human to make the prediction, while collaborative filtering does, so collaborative filtering can predict more accurately. However, collaborative filtering cannot give prediction to items which have never been rated by any user. In order to cover the drawbacks of each approach with the advantages of other approach, both approaches can be combined with an approach known as hybrid technique. Hybrid technique used in this work is weighted technique in which the prediction score is combination linear of scores gained by techniques that are combined.The purpose of this work is to show how an approach of weighted hybrid technique combining content-based filtering and item-based collaborative filtering can work in a movie recommender system and to show the performance comparison when both approachare combined and when each approach works alone. There are three experiments done in this work, combining both techniques with different parameters. The result shows that the weighted hybrid technique that is done in this work does not really boost the performance up, but it helps to give prediction score for unrated movies that are impossible to be recommended by only using collaborative filtering.

  1. A recommender system for prostate cancer websites.

    Science.gov (United States)

    Witteman, Holly; Chignell, Mark; Krahn, Murray

    2008-11-06

    One of the challenges for people seeking health information online is the difficulty in locating health Websites that are personally relevant, credible and useful. We developed a Web-based recommender system in order to help address this problem in the context of prostate cancer. We are conducting an online randomized controlled trial to evaluate the accuracy of its recommendations and to compare the efficacy of content-based and collaborative filtering.

  2. Recommender Systems based on Linked Data

    OpenAIRE

    Cristhian, Figueroa

    2017-01-01

    Backgrounds: The increase in the amount of structured data published using the principles of Linked Data, means that now it is more likely to find resources in the Web of Data that describe real life concepts. However, discovering resources related to any given resource is still an open research area. This thesis studies Recommender Systems (RS) that use Linked Data as a source for generating recommendations exploiting the large amount of available resources and the relationships among them. ...

  3. Useful and usable alarm systems : recommended properties

    Energy Technology Data Exchange (ETDEWEB)

    Veland, Oeystein; Kaarstad, Magnhild; Seim, Lars Aage; Foerdestroemmen, Nils T.

    2001-01-15

    This document describes the result of a study on alarm systems conducted by IFE in Halden. The study was initiated by the Norwegian Petroleum Directorate. The objective was to identify and formulate a set of important properties for useful and usable alarm systems. The study is mainly based on review of the latest international recognised guidelines and standards on alarm systems available at the time of writing, with focus on realistic solutions from research and best practice from different industries. In addition, IFE experiences gathered through specification and design of alarm systems and experimental activities in HAMMLAB and bilateral projects, have been utilized where relevant. The document presents a total of 43 recommendations divided into a number of general recommendations and more detailed recommendations on alarm generation, structuring, prioritisation, presentation and handling. (Author)

  4. Hierarchically Structured Recommender System for Improving NPS

    Science.gov (United States)

    Kuang, Jieyan

    2016-01-01

    Net Promoter System (NPS) is well known as an evaluation measure of the growth engine of big companies in the business area. The ultimate goal of my research is to build an action rules and meta-actions based recommender system for improving NPS scores of 34 companies (clients) dealing with similar businesses in the US and Canada. With the given…

  5. Do quality improvement systems improve health library services? A systematic review.

    Science.gov (United States)

    Gray, Hannah; Sutton, Gary; Treadway, Victoria

    2012-09-01

    A turbulent financial and political climate requires health libraries to be more accountable than ever. Quality improvement systems are widely considered a 'good thing to do', but do they produce useful outcomes that can demonstrate value? To undertake a systematic review to identify which aspects of health libraries are being measured for quality, what tools are being used and what outcomes are reported following utilisation of quality improvement systems. Many health libraries utilise quality improvement systems without translating the data into service improvements. Included studies demonstrate that quality improvement systems produce valuable outcomes including a positive impact on strategic planning, promotion, new and improved services and staff development. No impact of quality improvement systems on library users or patients is reported in the literature. The literature in this area is sparse and requires updating. We recommend further primary research is conducted in health libraries focusing upon the outcomes of utilising quality improvement systems. An exploration of quality improvement systems in other library sectors may also provide valuable insight for health libraries. © 2012 The authors. Health Information and Libraries Journal © 2012 Health Libraries Group.

  6. Social Network Supported Process Recommender System

    Science.gov (United States)

    Ye, Yanming; Yin, Jianwei; Xu, Yueshen

    2014-01-01

    Process recommendation technologies have gained more and more attention in the field of intelligent business process modeling to assist the process modeling. However, most of the existing technologies only use the process structure analysis and do not take the social features of processes into account, while the process modeling is complex and comprehensive in most situations. This paper studies the feasibility of social network research technologies on process recommendation and builds a social network system of processes based on the features similarities. Then, three process matching degree measurements are presented and the system implementation is discussed subsequently. Finally, experimental evaluations and future works are introduced. PMID:24672309

  7. An introduction to auditing and control of digital library systems

    OpenAIRE

    Das, Anup kumar; Dutta, Bidyarthi

    2004-01-01

    Digital libraries consist of interactive and integrated digital information systems. The intelligent control of information systems is necessary to enhance the capabilities and effectiveness of such digital libraries. The information systems auditing and control is popular in other information systems, like e-banking systems, CRM systems, e-governance systems, etc. To exploit the optimum benefits from a digital library system, some auditing and control measures should be maintained. This pape...

  8. Recommender systems and the social web leveraging tagging data for recommender systems

    CERN Document Server

    Gedikli, Fatih

    2013-01-01

    There is an increasing demand for recommender systems due to the information overload users are facing on the Web. The goal of a recommender system is to provide personalized recommendations of products or services to users. With the advent of the Social Web, user-generated content has enriched the social dimension of the Web. As user-provided content data also tells us something about the user, one can learn the user's individual preferences from the Social Web. This opens up completely new opportunities and challenges for recommender systems research. Fatih Gedikli deals with the question of

  9. User Controllability in a Hybrid Recommender System

    Science.gov (United States)

    Parra Santander, Denis Alejandro

    2013-01-01

    Since the introduction of Tapestry in 1990, research on recommender systems has traditionally focused on the development of algorithms whose goal is to increase the accuracy of predicting users' taste based on historical data. In the last decade, this research has diversified, with "human factors" being one area that has received…

  10. Mining Feedback in Ranking and Recommendation Systems

    Science.gov (United States)

    Zhuang, Ziming

    2009-01-01

    The amount of online information has grown exponentially over the past few decades, and users become more and more dependent on ranking and recommendation systems to address their information seeking needs. The advance in information technologies has enabled users to provide feedback on the utilities of the underlying ranking and recommendation…

  11. Development of a RFID Based Library Management System and ...

    African Journals Online (AJOL)

    Development of a RFID Based Library Management System and User Access Control. ... identification and detection (RFID) based library management system was developed that will enhance the use and management of library, the services being rendered can be managed with the help of software and hardware tools.

  12. Distributed Online Learning in Social Recommender Systems

    Science.gov (United States)

    Tekin, Cem; Zhang, Simpson; van der Schaar, Mihaela

    2014-08-01

    In this paper, we consider decentralized sequential decision making in distributed online recommender systems, where items are recommended to users based on their search query as well as their specific background including history of bought items, gender and age, all of which comprise the context information of the user. In contrast to centralized recommender systems, in which there is a single centralized seller who has access to the complete inventory of items as well as the complete record of sales and user information, in decentralized recommender systems each seller/learner only has access to the inventory of items and user information for its own products and not the products and user information of other sellers, but can get commission if it sells an item of another seller. Therefore the sellers must distributedly find out for an incoming user which items to recommend (from the set of own items or items of another seller), in order to maximize the revenue from own sales and commissions. We formulate this problem as a cooperative contextual bandit problem, analytically bound the performance of the sellers compared to the best recommendation strategy given the complete realization of user arrivals and the inventory of items, as well as the context-dependent purchase probabilities of each item, and verify our results via numerical examples on a distributed data set adapted based on Amazon data. We evaluate the dependence of the performance of a seller on the inventory of items the seller has, the number of connections it has with the other sellers, and the commissions which the seller gets by selling items of other sellers to its users.

  13. The UNIX Operating System in Libraries: Advantages of LAN's and Bulletin Board Systems in Your Library.

    Science.gov (United States)

    Rose, Phillip E.

    1988-01-01

    Describes the experiences of the AT&T Technical Library in installing a local area network (LAN) and bulletin board using the UNIX operating system. Reasons why a LAN was needed, how the system works, and hardware and software used are discussed. (1 reference) (MES)

  14. Evaluation of Explanation Interfaces in Recommender Systems

    Directory of Open Access Journals (Sweden)

    Sergio Cleger-Tamayo

    2017-05-01

    Full Text Available Explaining interfaces become a useful tool in systems that have a lot of content to evaluate by users. The different interfaces represent a help for the undecided users or those who consider systems as boxed black smart. These systems present recommendations to users based on different learning models. In this paper, we present the different objectives of the explanation interfaces and some of the criteria that you can evaluate, as well as a proposal of metrics to obtain results in the experiments. Finally, we showed the main results of a study with real users and their interaction with e-commerce systems. Among the main results, highlight the positive impact in relation to the time of interaction with the applications and acceptance of the recommendations received.

  15. A recommender system for medical imaging diagnostic.

    Science.gov (United States)

    Monteiro, Eriksson; Valente, Frederico; Costa, Carlos; Oliveira, José Luís

    2015-01-01

    The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that may help physicians in the diagnostic decision.

  16. A Categorical Review of Recommender Systems

    OpenAIRE

    RVVSV Prasad; V Valli Kumari

    2012-01-01

    As more and more information became available electronically, the need for effective information retrieval and implementation of filtering tools have became essential for easy access of relevant information. Recommender Systems (RS) are software tools and techniques providing suggestions for items and/or services to be of use to a user. These systems are achieving widespread success in ecommerce applications now a days, with the advent of internet. This paper presents a categorical review ...

  17. Designing a Mobile Based Library Information and Service Delivery System: A Model Plan for Libraries of Bangladesh

    National Research Council Canada - National Science Library

    Elahi, Md. Hasinul

    2016-01-01

    ... with the help of mobile phones and their applications, design a mobile based library information and service delivery system, and identify major challenges regarding mobile based library information...

  18. The Antarctic Seismic Data Library System for Cooperative Research

    Science.gov (United States)

    Childs, J. R.; Wardell, N.; Cooper, A. K.; Brancolini, G.

    2001-12-01

    The Antarctic Seismic Data Library System for Cooperative Research (SDLS) was designed by members of the Antarctic geoscience community to facilitate open access to multichannel seismic reflection data, and to promote collaborative research based on these data. The SDLS was formally adopted in 1991 under the auspices of the Scientific Committee on Antarctic Research (SCAR) and mandates of Antarctic Treaty Consultative Meeting Recommendation XVI-12. Since that time, library branches have been established in countries worldwide, and more than 50,000 km of digital seismic reflection profile data have been provided to the SDLS by data collectors in 10 countries. The library system is a dynamic library where data resides for use by all members of the research community in collaboration with data collectors. Data are available at the SDLS during the period between 4 and 8 years following data collection, after which they go to the World Data Center. The SDLS system protects intellectual property rights of data collectors and provides open access to data, as required by the Antarctic Treaty, to facilitate timely and multinational geoscience research products. This abstract outlines recommendations to update the data-access technology used by the SDLS, while retaining the basic tenets and guidelines upon which the library system was adopted and now operates. In the early 1990's when the SDLS was developed, the computer technologies were by today's standards primitive. We propose an updated SDLS design that incorporates a variety of new features and capabilities utilizing modern technology and current standards for the organization and dissemination of geospatial data. Some of the features of the proposed SDLS design include: ” The new SDLS will be principally Web-based, allowing on-line access to digital datasets. Security and access to data will be controlled according to the terms of the original SDLS agreement, either by limiting on-line access to sensitive data files

  19. Multimedia services in intelligent environments advances in recommender systems

    CERN Document Server

    Virvou, Maria; Jain, Lakhmi

    2013-01-01

    Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. In this book at hand, we examine recent Advances in Recommender Systems. Recommender systems are crucial in multimedia services, as they aim at protecting the service users from information overload. The book includes nine chapters, which present various recent research results in recommender systems. This resear...

  20. Library Systems Office Organization. SPEC Kit and SPEC Flyer 211.

    Science.gov (United States)

    Muir, Scott P., Comp.

    The roles and responsibilities of the library systems officer continues to change as libraries move beyond the automation of library functions to offering resources in electronic formats and electronic access to information about collections beyond the walls of the home institution. This survey was designed to collect data and document some of the…

  1. Open Source Library Management Systems: A Multidimensional Evaluation

    Science.gov (United States)

    Balnaves, Edmund

    2008-01-01

    Open source library management systems have improved steadily in the last five years. They now present a credible option for small to medium libraries and library networks. An approach to their evaluation is proposed that takes account of three additional dimensions that only open source can offer: the developer and support community, the source…

  2. SECURING DIGITIZED LIBRARY CIRCULATORY SYSTEM | Olaniyi ...

    African Journals Online (AJOL)

    Current model of operation carries along with it challenges of insecurity of library books, errors in task execution, laborious routines with over dependency of human involvement in Library operations. In this paper, circulatory operations of the library were digitized and secured using a 125- KHz Radio Frequency ...

  3. Movie Recommendation System Based on Collaborative Filtering

    OpenAIRE

    Kejun, Wang

    2013-01-01

    With the explosively growing of the technologies and services of the Internet, the information data world increases rapidly. Recommendation systems have acted an important role in many ways, including movies, books, friends, shopping on net and music. Especially like today, people are surrounded by mass of information. People try to find their preferred movies. It has become difficult when facing so many kinds of movies. People may dizzied by plenty of items on the net, they don't know how to...

  4. weHelp: A Reference Architecture for Social Recommender Systems.

    Science.gov (United States)

    Sheth, Swapneel; Arora, Nipun; Murphy, Christian; Kaiser, Gail

    2010-01-01

    Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.

  5. Information Systems in the University of Saskatchewan Libraries: A Vision for the 1990s.

    Science.gov (United States)

    Saskatchewan Univ., Saskatoon. Libraries.

    This report describes the vision of the Information Systems Advisory Committee (ISAC) of an Information Systems Model for the 1990s. It includes an evaluation of the present automation environment at the university, a vision of library automation at the University of Saskatchewan between 1994 and 1999, and specific recommendations on such issues…

  6. The Effect of a Poster, Display, and Recommended Listening List on the Circulation of Audiobooks in the Public Library.

    Science.gov (United States)

    Kucalaba, Linda

    Previous studies have found that the librarian's use of book displays and recommended lists are an effective means to increase circulation in the public library. Yet conflicting results were found when these merchandising techniques were used with collection materials in the nonprint format, specifically audiobooks and videos, instead of books.…

  7. Factors Affecting the Full Use of Library and Information Management Systems by Library Personnel

    Science.gov (United States)

    Skretas, Georgios

    2005-01-01

    Purpose: To provide a general list of factors that affects and determines the full use of library information management systems (LIMS) by library staff. Design/methodology/approach: The factors, which were identified mainly during participation in the implementation of automation projects in Greece, are listed and briefly analysed in categories…

  8. Planning Process and Considerations for a Statewide Academic Libraries Information System in Ohio

    Directory of Open Access Journals (Sweden)

    Hwa-Wei Lee

    1989-12-01

    Full Text Available 無Academic libraries in Ohio have led in cooperative library automation, with the establishment of OCLC in 1967 as one example. Beyond OCLC, which provides online shared cataloging, interlibrary loan and the world's largest bibliographic database, many have developed or acquired local systems to meet the needs of individual libraries. A 1986 study by the state Board of Regents recommended development of an Ohio Libraries Information System (OLIS which would permit students and faculty at any public university to have full access to the resources at any public university in the state. Beyond bibliographic access, the system emphasizes information delivery. This paper describes the planning process and considerations of the system which will go to REP in June 1989.

  9. A System for Recommending Rental Properties

    Directory of Open Access Journals (Sweden)

    Bernard Shibwabo Kasamani

    2017-07-01

    Full Text Available This paper presents an implementation of recommender technology to online search of rental properties. In particular, the paper uses the preference-based search approach combined with a technique called example-critiquing. Rather than perform a query against the database, this approach prompts the user to express some preferences on rental properties, uses them to construct a preference model for the user, and finally generates a list of properties that best match that preferences. The system is developed as Web application using the Ruby on Rails framework

  10. Two tier pricing system recommendation and summary

    Energy Technology Data Exchange (ETDEWEB)

    None

    1974-06-01

    In both the U.S. and the world today the most critical price system problem is the spectacular crude price set by the OPEC monopoly. In the U.S. this $10.00 plus price currently sets the price of 60% of our crude petroleum input. Therefore, the most powerful method available to reduce U.S. crude input price inflation is to reduce the OPEC monopoly price by at least $2 or 20%. At this price, it would supposedly approximate the long run cost of such energy. The situation is reviewed and recommendations and a summary are provided.

  11. XML: How It Will Be Applied to Digital Library Systems.

    Science.gov (United States)

    Kim, Hyun-Hee; Choi, Chang-Seok

    2000-01-01

    Shows how XML is applied to digital library systems. Compares major features of XML with those of HTML and describes an experimental XML-based metadata retrieval system, which is based on the Dublin Core and is designed as a subsystem of the Korean Virtual Library and Information System (VINIS). (Author/LRW)

  12. Web based Library Information System Using PHP and MYSQL

    Directory of Open Access Journals (Sweden)

    Kartika Firdausy

    2008-08-01

    Full Text Available Library are usually used by visitors as media to search a reference and obtain information. Problems at this time is that not many libraries have shaped the web information system for online services. This research aims to analyze and design web-based library information system and testing of the performance of library information systems. Results of research. Results of research shows that the library information system is web-based software built with PHP and MySQL, can work in the Internet network, with the ability to receive data on the WEB library visits, serving registration members get access to a wider, providing services to the availability of information needs click in the form of books, ordering and serving the order book from the members, to serve and return of rental transactions directly.

  13. Kernel based collaborative recommender system for e-purchasing

    Indian Academy of Sciences (India)

    Abstract. Recommender system a new marketing strategy plays an important role particularly in an electronic commerce environment. Among the various recommender systems, collaborative recommender system (CRS) is widely used in a number of different applications such as recommending web pages, movies,.

  14. Kernel based collaborative recommender system for e-purchasing

    Indian Academy of Sciences (India)

    Recommender system a new marketing strategy plays an important role particularly in an electronic commerce environment. Among the various recommender systems, collaborative recommender system (CRS) is widely used in a number of different applications such as recommending web pages, movies, tapes and items.

  15. Advanced Transport Operating System (ATOPS) utility library software description

    Science.gov (United States)

    Clinedinst, Winston C.; Slominski, Christopher J.; Dickson, Richard W.; Wolverton, David A.

    1993-01-01

    The individual software processes used in the flight computers on-board the Advanced Transport Operating System (ATOPS) aircraft have many common functional elements. A library of commonly used software modules was created for general uses among the processes. The library includes modules for mathematical computations, data formatting, system database interfacing, and condition handling. The modules available in the library and their associated calling requirements are described.

  16. Integrated solutions for libraries: implementation of RFID system

    Directory of Open Access Journals (Sweden)

    Simona Gheorghe

    2011-01-01

    Full Text Available Currently, an innovative technology is implemented in the Romanian libraries, based on radio frequency identification, in other words RFID technology. This technology has been developed into many areas of activity both in our country and abroad. In 2008, Central Library of “Lucian Blaga” University from Sibiu has implemented the system and Central University Library “Carol I” from Bucharest is in the process of RFID implementation. There are presented the components of an RFID library system, what is involving the application of this system, the advantages and disadvantages of RFID technology.

  17. Family Shopping Recommendation System Using User Profile and Behavior Data

    OpenAIRE

    Jiacheng, Xu

    2017-01-01

    With the arrival of the big data era, recommendation system has been a hot technology for enterprises to streamline their sales. Recommendation algorithms for individual users have been extensively studied over the past decade. Most existing recommendation systems also focus on individual user recommendations, however in many daily activities, items are recommended to the groups not one person. As an effective means to solve the problem of group recommendation problem,we extend the single use...

  18. Critical Success Factors for Integrated Library System Implementation in Academic Libraries: A Qualitative Study

    Directory of Open Access Journals (Sweden)

    Shea-Tinn Yeh

    2016-09-01

    Full Text Available Integrated library system (ILS supports the entire business operations of an academic library from acquiring and processing library resources to making them available to user communities and preserving them for future use. As libraries’ needs evolve, there is a pressing demand for libraries to migrate from one generation of ILS to the next. This complex migration process is often the single largest investment in both budget and personnel involvement, but its success is by no means guaranteed. We draw upon enterprise resource planning (ERP and critical success factors (CSFs literature to identify the most salient CSFs for ILS migration success through a qualitative study with four cases. We identified that top management involvement, vendor support, user involvement, selection process, project team competence, project management and tracking, interdepartmental communication, data analysis and conversion, user education and training, and user emotion management are the CSFs that determine a migration project success.  Keywords: Integrated library systems, information systems, library automation, critical success factors, and academic libraries.

  19. Finding Your Literature Match - A Recommender System

    Science.gov (United States)

    Henneken, Edwin A.; Kurtz, Michael J.; Accomazzi, Alberto; Grant, Carolyn; Thompson, Donna; Bohlen, Elizabeth; Di Milia, Giovanni; Luker, Jay; Murray, Stephen S.

    The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse. Hence, the need for accurate, efficient and intelligent search tools is bigger than ever. Even with a sophisticated search engine, looking for information can still result in overwhelming results. An overload of information has the intrinsic danger of scaring visitors away, and any organization, for-profit or not-for-profit, in the business of providing scholarly information wants to capture and keep the attention of its target audience. Publishers and search engine engineers alike will benefit from a service that is able to provide visitors with recommendations that closely meet their interests. Providing visitors with special deals, new options and highlights may be interesting to a certain degree, but what makes more sense (especially from a commercial point of view) than to let visitors do most of the work by the mere action of making choices? Hiring psychics is not an option, so a technological solution is needed to recommend items that a visitor is likely to be looking for. In this presentation we will introduce such a solution and argue that it is practically feasible to incorporate this approach into a useful addition to any information retrieval system with enough usage.

  20. CORPORATIVE SYSTEMS AND TECHNOLOGIES FOR AUTOMATIZATION OF LIBRARIES IN BELARUS

    Directory of Open Access Journals (Sweden)

    R. V. Griganets

    2013-01-01

    Full Text Available The paper presents a composition of works performed in the framework of projects for the creation and development of the corporative library automatization system in Belarus. The systems and the automation technologies of library and information activities implemented in these projects are considered.

  1. CORPORATIVE SYSTEMS AND TECHNOLOGIES FOR AUTOMATIZATION OF LIBRARIES IN BELARUS

    OpenAIRE

    R. V. Griganets; G. O. Lauzhel; E. V. Stepantsova

    2013-01-01

    The paper presents a composition of works performed in the framework of projects for the creation and development of the corporative library automatization system in Belarus. The systems and the automation technologies of library and information activities implemented in these projects are considered.

  2. BACS: evolution of an integrated library system toward information management.

    Science.gov (United States)

    Kelly, E A; Halbrook, B; Igielnik, S; Rueby, C

    1985-01-01

    The evolution of the Washington University School of Medicine BACS integrated library system toward information management functions is outlined. The creation of a machine-readable database and its extension through telecommunications have consequences that reach beyond the functions of the library as we have perceived them. It is argued that libraries are flexible institutions that, with automation, are likely to enlarge rather than to diminish.

  3. CSIR's new integrated electronic library information-system

    CSIR Research Space (South Africa)

    Michie, A

    1995-08-01

    Full Text Available The CSIR has developed a CDROM-based electronic library information system which provides the ability to reproduce and search for published information and colour brochures on the computer screen. The system integrates this information with online...

  4. Recommender system based on scarce information mining.

    Science.gov (United States)

    Lu, Wei; Chung, Fu-Lai; Lai, Kunfeng; Zhang, Liang

    2017-09-01

    Guessing what user may like is now a typical interface for video recommendation. Nowadays, the highly popular user generated content sites provide various sources of information such as tags for recommendation tasks. Motivated by a real world online video recommendation problem, this work targets at the long tail phenomena of user behavior and the sparsity of item features. A personalized compound recommendation framework for online video recommendation called Dirichlet mixture probit model for information scarcity (DPIS) is hence proposed. Assuming that each clicking sample is generated from a representation of user preferences, DPIS models the sample level topic proportions as a multinomial item vector, and utilizes topical clustering on the user part for recommendation through a probit classifier. As demonstrated by the real-world application, the proposed DPIS achieves better performance in accuracy, perplexity as well as diversity in coverage than traditional methods. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Supporting Information Literacy Learning: Implementation of the National Recommendation in a Science Library

    OpenAIRE

    Kakkonen, Anne; Virrankoski, Antti

    2008-01-01

    Information literacy (IL) has been under active discussion within Finnish academic libraries from the beginning of this millennium. In the Development Plan for Education and Research 2003-2008 The Ministry of Education emphasises the role of the university libraries in contributing to the development of teaching and studying methods, thus ensuring that graduates have good information literacy. Finnish universities have implemented several projects in order to create standards and teaching aid...

  6. enhanced digital library system that supports sustainable knowledge

    African Journals Online (AJOL)

    Keywords: Enhanced, Digital library, Sustainable knowledge. Introduction. It is rooted in the recent year׳s ... browser instantly with a nice pagination links for swapping in-between pages. 4. To restrict access from ... digital library is a type of information retrieval system (Candela, et al, 2011). The web based nature of digital ...

  7. Conversion of serial holdings into automated library system in ...

    African Journals Online (AJOL)

    Records conversion is a must in a newly automated library system. As a result of the recent development in automation at the University of Ilorin library, almost all the monograph collection have been converted to readable format, while the conversion of the serials records remain dormant. The article discusses the attempt ...

  8. Knowledge Organisation Systems in North American Digital Library Collections

    Science.gov (United States)

    Shiri, Ali; Chase-Kruszewski, Sarah

    2009-01-01

    Purpose: The purpose of this paper is to report an investigation into the types of knowledge organisation systems (KOSs) utilised in North American digital library collections. Design/methodology/approach: The paper identifies, analyses and deep scans online North American hosted digital libraries. It reviews the literature related to the…

  9. Effect of Jimma University Libraries System Usage and ...

    African Journals Online (AJOL)

    This study was initiated with the main aim of finding out the effect of Jimma University Libraries System usage and contributions to quality education. It used a cross-sectional research method with both qualitative and quantitative data collection approaches. The result of this study showed that the available library materials, ...

  10. Therapy Decision Support Based on Recommender System Methods

    Directory of Open Access Journals (Sweden)

    Felix Gräßer

    2017-01-01

    Full Text Available We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  11. Therapy Decision Support Based on Recommender System Methods.

    Science.gov (United States)

    Gräßer, Felix; Beckert, Stefanie; Küster, Denise; Schmitt, Jochen; Abraham, Susanne; Malberg, Hagen; Zaunseder, Sebastian

    2017-01-01

    We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  12. Analyzing Public Library Service Interactions to Improve Public Library Customer Service and Technology Systems

    Directory of Open Access Journals (Sweden)

    Holly Arnason

    2012-03-01

    Full Text Available Objective – To explore the types and nature of assistance library customers are asking library staff for in a large Canadian urban public library system.Methods – A qualitative study employing transaction logging combined with embedded observation occurred for three-day sample periods at a selection of nine branches over the course of eight months. Staff recorded questions and interactions at service desks (in person, by phone, and electronically, as well as questions received during scheduled and non-scheduled provision of mobile reference service. In addition to recording interaction details and interaction medium, staff members were also asked to indicate briefly the process or resources used to resolve the interaction. Survey data were entered and coded through thematic analysis.Results – The survey collected 6,099 interactions between staff and library customers. Of those 6,099 interactions, 1,920 (31.48% were coded as pertaining to technology help. Further analysis revealed significant library customer need for help with Internet workstations and printing.Conclusions – Technology help is a core customer need for Edmonton Public Library, with requests varying in complexity and sometimes resolved with instruction. The library’s Internet workstations and printing system presented critical usability challenges that drove technology help requests.

  13. Consumer health information partnerships: the health science library and multitype library system.

    Science.gov (United States)

    Hollander, S

    1996-04-01

    The University of Illinois Library of the Health Sciences at Rockford (LHS-Rockford) long has honored a commitment to serving the health information needs of the greater Rockford community. Utilization data collected over the past five years indicate that approximately 50% of reference transactions involve persons not affiliated with the university. In early 1994, LHS-Rockford submitted a proposal to the Northern Illinois Library System (NILS), a multitype system spanning twelve counties in northwestern Illinois, asking to serve as a resource library for improving medical and health information services provided by the 138 NILS member libraries. The NILS funded this pilot project as part of an effort to implement a new strategic plan, which encouraged member libraries to form networks to provide reference back-up service. LHS-Rockford acquired InfoTrac's Health Reference Center, a consumer health information database, and set up a dedicated workstation near the information and circulation desk. Referral guidelines were established and the project was promoted among NILS member libraries. Activities were documented in order to track project success in terms of referrals and outcomes. The demonstration project was very successful, and it proves public consumers seeking health information can benefit greatly from this type of cooperative arrangement.

  14. Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey

    Science.gov (United States)

    Erdt, Mojisola; Fernandez, Alejandro; Rensing, Christoph

    2015-01-01

    The increasing number of publications on recommender systems for Technology Enhanced Learning (TEL) evidence a growing interest in their development and deployment. In order to support learning, recommender systems for TEL need to consider specific requirements, which differ from the requirements for recommender systems in other domains like…

  15. Recommendations for protecting National Library of Medicine Computing and Networking Resources

    Energy Technology Data Exchange (ETDEWEB)

    Feingold, R.

    1994-11-01

    Protecting Information Technology (IT) involves a number of interrelated factors. These include mission, available resources, technologies, existing policies and procedures, internal culture, contemporary threats, and strategic enterprise direction. In the face of this formidable list, a structured approach provides cost effective actions that allow the organization to manage its risks. We face fundamental challenges that will persist for at least the next several years. It is difficult if not impossible to precisely quantify risk. IT threats and vulnerabilities change rapidly and continually. Limited organizational resources combined with mission restraints-such as availability and connectivity requirements-will insure that most systems will not be absolutely secure (if such security were even possible). In short, there is no technical (or administrative) {open_quotes}silver bullet.{close_quotes} Protection is employing a stratified series of recommendations, matching protection levels against information sensitivities. Adaptive and flexible risk management is the key to effective protection of IT resources. The cost of the protection must be kept less than the expected loss, and one must take into account that an adversary will not expend more to attack a resource than the value of its compromise to that adversary. Notwithstanding the difficulty if not impossibility to precisely quantify risk, the aforementioned allows us to avoid the trap of choosing a course of action simply because {open_quotes}it`s safer{close_quotes} or ignoring an area because no one had explored its potential risk. Recommendations for protecting IT resources begins with discussing contemporary threats and vulnerabilities, and then procedures from general to specific preventive measures. From a risk management perspective, it is imperative to understand that today, the vast majority of threats are against UNIX hosts connected to the Internet.

  16. Cloud Computing Platform for an Online Model Library System

    Directory of Open Access Journals (Sweden)

    Mingang Chen

    2013-01-01

    Full Text Available The rapid developing of digital content industry calls for online model libraries. For the efficiency, user experience, and reliability merits of the model library, this paper designs a Web 3D model library system based on a cloud computing platform. Taking into account complex models, which cause difficulties in real-time 3D interaction, we adopt the model simplification and size adaptive adjustment methods to make the system with more efficient interaction. Meanwhile, a cloud-based architecture is developed to ensure the reliability and scalability of the system. The 3D model library system is intended to be accessible by online users with good interactive experiences. The feasibility of the solution has been tested by experiments.

  17. The Bellevue Classification System: nursing's voice upon the library shelves.

    Science.gov (United States)

    Mages, Keith C

    2011-01-01

    This article examines the inspiration, construction, and meaning of the Bellevue Classification System (BCS), created during the 1930s for use in the Bellevue School of Nursing Library. Nursing instructor Ann Doyle, with assistance from librarian Mary Casamajor, designed the BCS after consulting with library leaders and examining leading contemporary classification systems, including the Dewey Decimal Classification and Library of Congress, Ballard, and National Health Library classification systems. A close textual reading of the classes, subclasses, and subdivisions of these classification systems against those of the resulting BCS, reveals Doyle's belief that the BCS was created not only to organize the literature, but also to promote the burgeoning intellectualism and professionalism of early twentieth-century American nursing.

  18. Creating adaptive web recommendation system based on user behavior

    Science.gov (United States)

    Walek, Bogdan

    2018-01-01

    The paper proposes adaptive web recommendation system based on user behavior. The proposed system uses expert system to evaluating and recommending suitable items of content. Relevant items are subsequently evaluated and filtered based on history of visited items and user´s preferred categories of items. Main parts of the proposed system are presented and described. The proposed recommendation system is verified on specific example.

  19. Recommender systems for technology enhanced learning research trends and applications

    CERN Document Server

    Manouselis, Nikos; Verbert, Katrien

    2014-01-01

    Presents cutting edge research from leading experts in the growing field of Recommender Systems for Technology Enhanced Learning (RecSys TEL) International contributions are included to demonstrate the merging of various efforts and communities Topics include: Linked Data and the Social Web as Facilitators for TEL Recommender Systems in Research and Practice, Personalised Learning-Plan Recommendations in Game-Based Learning and Recommendations from Heterogeneous Sources in a Technology Enhanced Learning Ecosystem

  20. Algorithms for Academic Search and Recommendation Systems

    DEFF Research Database (Denmark)

    Amolochitis, Emmanouil

    2014-01-01

    implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. On the second part we describe the design of hybrid recommender ensemble (user, item and content based). The newly introduced algorithms...

  1. Do recommender systems benefit users? a modeling approach

    Science.gov (United States)

    Yeung, Chi Ho

    2016-04-01

    Recommender systems are present in many web applications to guide purchase choices. They increase sales and benefit sellers, but whether they benefit customers by providing relevant products remains less explored. While in many cases the recommended products are relevant to users, in other cases customers may be tempted to purchase the products only because they are recommended. Here we introduce a model to examine the benefit of recommender systems for users, and find that recommendations from the system can be equivalent to random draws if one always follows the recommendations and seldom purchases according to his or her own preference. Nevertheless, with sufficient information about user preferences, recommendations become accurate and an abrupt transition to this accurate regime is observed for some of the studied algorithms. On the other hand, we find that high estimated accuracy indicated by common accuracy metrics is not necessarily equivalent to high real accuracy in matching users with products. This disagreement between estimated and real accuracy serves as an alarm for operators and researchers who evaluate recommender systems merely with accuracy metrics. We tested our model with a real dataset and observed similar behaviors. Finally, a recommendation approach with improved accuracy is suggested. These results imply that recommender systems can benefit users, but the more frequently a user purchases the recommended products, the less relevant the recommended products are in matching user taste.

  2. The University of Sydney Library Catalogue Data Entry System.

    Science.gov (United States)

    Jacob, M. E. L.; And Others

    1975-01-01

    This report is a description of the history, development, and present state of the University of Sydney Library Catalog Data Entry System. The system has been designed for use on an IBM System 360/20 using assembler programing language. While its primary objective is the generation of machine-readable catalogs, a byproduct of the system has been…

  3. Modeling mutual feedback between users and recommender systems

    Science.gov (United States)

    Zeng, An; Yeung, Chi Ho; Medo, Matúš; Zhang, Yi-Cheng

    2015-07-01

    Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-term mutual feedback between a recommender system and the decisions of its users has been neglected so far. We propose here a model of network evolution which allows us to study the complex dynamics induced by this feedback, including the hysteresis effect which is typical for systems with non-linear dynamics. Despite the popular belief that recommendation helps users to discover new things, we find that the long-term use of recommendation can contribute to the rise of extremely popular items and thus ultimately narrow the user choice. These results are supported by measurements of the time evolution of item popularity inequality in real systems. We show that this adverse effect of recommendation can be tamed by sacrificing part of short-term recommendation accuracy.

  4. Marketing Recommender Systems: A New Approach in Digital Economy

    Directory of Open Access Journals (Sweden)

    Loredana MOCEAN

    2012-01-01

    Full Text Available Marketing information systems are those systems which make the gathering, processing, selection, storage, transmission and display of coordinated and continuous internal and external information. Includes systematic and formal methods used for managing all of an organization's information market. Recommendation systems are those systems that are widely used in online systems to suggest items that users might find interesting. These recommendations are generated using in particular two techniques: content-based and collaborative filtering. This paper aims to define a new system, namely Marketing Recommender System, a system that serves marketing and uses techniques and methods of the digital economy.

  5. Toward a New Protocol to Evaluate Recommender Systems

    OpenAIRE

    Meyer, Frank; Fessant, Françoise; Clérot, Fabrice; Gaussier, Eric

    2012-01-01

    In this paper, we propose an approach to analyze the performance and the added value of automatic recommender systems in an industrial context. We show that recommender systems are multifaceted and can be organized around 4 structuring functions: help users to decide, help users to compare, help users to discover, help users to explore. A global off line protocol is then proposed to evaluate recommender systems. This protocol is based on the definition of appropriate evaluation measures for e...

  6. Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting

    Directory of Open Access Journals (Sweden)

    Longbing Cao

    2016-06-01

    Full Text Available While recommendation plays an increasingly critical role in our living, study, work, and entertainment, the recommendations we receive are often for irrelevant, duplicate, or uninteresting products and services. A critical reason for such bad recommendations lies in the intrinsic assumption that recommended users and items are independent and identically distributed (IID in existing theories and systems. Another phenomenon is that, while tremendous efforts have been made to model specific aspects of users or items, the overall user and item characteristics and their non-IIDness have been overlooked. In this paper, the non-IID nature and characteristics of recommendation are discussed, followed by the non-IID theoretical framework in order to build a deep and comprehensive understanding of the intrinsic nature of recommendation problems, from the perspective of both couplings and heterogeneity. This non-IID recommendation research triggers the paradigm shift from IID to non-IID recommendation research and can hopefully deliver informed, relevant, personalized, and actionable recommendations. It creates exciting new directions and fundamental solutions to address various complexities including cold-start, sparse data-based, cross-domain, group-based, and shilling attack-related issues.

  7. A Literature Review on Recommender Systems Algorithms, Techniques and Evaluations

    Directory of Open Access Journals (Sweden)

    Kasra Madadipouya

    2017-07-01

    Full Text Available One of the most crucial issues, nowadays, is to provide personalized services to each individual based on their preferences. To achieve this goal, recommender system could be utilized as a tool to help the users in decision-making process offering different items and options. They are utilized to predict and recommend relevant items to end users. In this case an item could be anything such as a document, a location, a movie, an article or even a user (friend suggestion. The main objective of the recommender systems is to suggest items which have great potential to be liked by users. In modern recommender systems, various methods are combined together with the aim of extracting patterns in available datasets. Combination of different algorithms make prediction more convoluted since various parameters should be taken into account in providing recommendations. Recommendations could be personalized or non-personalized. In non-personalized type, selection of the items for a user is based on the number of the times that an item has been visited in the past by other users. However, in the personalized type, the main objective is to provide the best items to the user based on her taste and preferences. Although, in many domains recommender systems gained significant improvements and provide better services for users, it still requires further research to improve accuracy of recommendations in many aspects. In fact, the current available recommender systems are far from the ideal model of the recommender system. This paper reviews state of art in recommender systems algorithms and techniques which is necessary to identify the gaps and improvement areas. In addition to that, we provide possible solutions to overcome shortages and known issues of recommender systems as well as discussing about recommender systems evaluation methods and metrics in details.

  8. Food recommender systems for diabetic patients: a narrative review

    Directory of Open Access Journals (Sweden)

    Somaye Norouzi

    2017-07-01

    Full Text Available World Health Organization (WHO estimates that the number of people with diabetes will grow 114% by 2030. It declares that patients themselves have more responsibility for controlling and the treatment of diabetes by being provided with updated knowledge about the disease and different aspects of available treatments, and diet therapy in particular. In this regard, diet recommendation systems would be helpful. They are techniques and tools which suggest the best diets according to patient’s health situation and preferences. Accordingly, this narrative review studied food recommendation systems and their features by focusing on nutrition and diabetic issues. Literature searches in Google scholar and Pubmed were conducted in February 2015. Records were limited to papers in English language; however, no limitations were applied for the published date. We recognized three common methods for food recommender system: collaborative filtering recommender system (CFRS, knowledge based recommender system (KBRS and context-aware recommender system (CARS. Also wellness recommender systems are a subfield of food recommender systems, which help users to find and adapt suitable personalized wellness treatments based on their individual needs. Food recommender systems often used artificial intelligence and semantic web techniques. Some used the combination of both techniques.

  9. Deployment of Recommender Systems: Operational and Strategic Issues

    Science.gov (United States)

    Ghoshal, Abhijeet

    2011-01-01

    E-commerce firms are increasingly adopting recommendation systems to effectively target customers with products and services. The first essay examines the impact that improving a recommender system has on firms that deploy such systems. A market with customers heterogeneous in their search costs is considered. We find that in a monopoly, a firm…

  10. PHOENIX: An Online System for a Library Catalogue.

    Science.gov (United States)

    Clinton, Marshall

    1982-01-01

    Presents the background, database, user instructions, design criteria, hardware, and commands of the online catalog system at the University of New Brunswick (Canada) library, as well as self-instructional features of the system. Evaluation of systems use and potential applications are discussed, and sample displays are provided. (RBF)

  11. An effective collaborative movie recommender system with cuckoo search

    Directory of Open Access Journals (Sweden)

    Rahul Katarya

    2017-07-01

    Full Text Available Recommender systems are information filtering tools that aspire to predict the rating for users and items, predominantly from big data to recommend their likes. Movie recommendation systems provide a mechanism to assist users in classifying users with similar interests. This makes recommender systems essentially a central part of websites and e-commerce applications. This article focuses on the movie recommendation systems whose primary objective is to suggest a recommender system through data clustering and computational intelligence. In this research article, a novel recommender system has been discussed which makes use of k-means clustering by adopting cuckoo search optimization algorithm applied on the Movielens dataset. Our approach has been explained systematically, and the subsequent results have been discussed. It is also compared with existing approaches, and the results have been analyzed and interpreted. Evaluation metrics such as mean absolute error (MAE, standard deviation (SD, root mean square error (RMSE and t-value for the movie recommender system delivers better results as our approach offers lesser value of the mean absolute error, standard deviation, and root mean square error. The experiment results obtained on Movielens dataset stipulate that the proposed approach may provide high performance regarding reliability, efficiency and delivers accurate personalized movie recommendations when compared with existing methods. Our proposed system (K-mean Cuckoo has 0.68 MAE, which is superior to existing work (0.78 MAE [1] and also has improvement of our previous work (0.75 MAE [2].

  12. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    Directory of Open Access Journals (Sweden)

    Titipat Achakulvisut

    Full Text Available Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate.

  13. Science Concierge: A Fast Content-Based Recommendation System for Scientific Publications.

    Science.gov (United States)

    Achakulvisut, Titipat; Acuna, Daniel E; Ruangrong, Tulakan; Kording, Konrad

    2016-01-01

    Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they help for music, movie, and product recommendations. However, we know little about the performance of these algorithms with scholarly material. Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles. Design principles are to adapt to new content, provide near-real time suggestions, and be open source. We tested the library on 15K posters from the Society of Neuroscience Conference 2015. Human curated topics are used to cross validate parameters in the algorithm and produce a similarity metric that maximally correlates with human judgments. We show that our algorithm significantly outperformed suggestions based on keywords. The work presented here promises to make the exploration of scholarly material faster and more accurate.

  14. Longitudinal analysis of Ecuador’s Library System

    Directory of Open Access Journals (Sweden)

    Patricio Álvarez-Muñoz

    2016-12-01

    Full Text Available The success of the finest universities in the world is based to a large extent on the development of the library system. At the same time these systems are subjected to a competitive dynamic, with the aim of promoting knowledge generation. Ecuador is not exempt from this dynamic and currently finds itself in the midst of an overall development of its higher education system. The present study offers a longitudinal analysis of the current state of the university library system, based on a sample 25 of the 54 existing universities. Under consideration were administrative, technological, economic and service variables, the most important being the number of documents per student and the investment in database access. In addition, the way in which libraries acquire scientific information databases is explored, together with what is currently on offer and the level of government investment for providing database access.

  15. Cloud-based Recommendation Systems: Applications and Solutions

    OpenAIRE

    Çano, Erion

    2016-01-01

    Recommender systems have become extremely common in recent years, and are applied in a variety of applications. They help businesses increase their sales and customer satisfaction. More and more computing applications including recommender systems, are being deployed as cloud computing services. This papers presents some of the most common recommendation applications and solutions which follow SaaS, PaaS or other cloud computing service models. They are provided both from academia and busines...

  16. A Recommender System in the Cyber Defense Domain

    Science.gov (United States)

    2014-03-27

    to provide recommended actions. Recommender systems have commonly been used to suggest items of interest to consumers. For example, Netflix uses a...recommender system 2 to suggest movies for users to watch. Netflix takes in information about what movies the user enjoys by asking them to rate movies...on a 1 to 5 scale and what types of movies the user enjoys based on genre. The exact algorithm implemented by Netflix is proprietary, but it is easy

  17. Finding Your Literature Match -- A Recommender System

    CERN Document Server

    Henneken, Edwin A; Accomazzi, Alberto; Grant, Carolyn; Thompson, Donna; Bohlen, Elizabeth; Di Milia, Giovanni; Luker, Jay; Murray, Stephen S

    2010-01-01

    The universe of potentially interesting, searchable literature is expanding continuously. Besides the normal expansion, there is an additional influx of literature because of interdisciplinary boundaries becoming more and more diffuse. Hence, the need for accurate, efficient and intelligent search tools is bigger than ever. Even with a sophisticated search engine, looking for information can still result in overwhelming results. An overload of information has the intrinsic danger of scaring visitors away, and any organization, for-profit or not-for-profit, in the business of providing scholarly information wants to capture and keep the attention of its target audience. Publishers and search engine engineers alike will benefit from a service that is able to provide visitors with recommendations that closely meet their interests. Providing visitors with special deals, new options and highlights may be interesting to a certain degree, but what makes more sense (especially from a commercial point of view) than to...

  18. Solving the stability-accuracy-diversity dilemma of recommender systems

    Science.gov (United States)

    Hou, Lei; Liu, Kecheng; Liu, Jianguo; Zhang, Runtong

    2017-02-01

    Recommender systems are of great significance in predicting the potential interesting items based on the target user's historical selections. However, the recommendation list for a specific user has been found changing vastly when the system changes, due to the unstable quantification of item similarities, which is defined as the recommendation stability problem. To improve the similarity stability and recommendation stability is crucial for the user experience enhancement and the better understanding of user interests. While the stability as well as accuracy of recommendation could be guaranteed by recommending only popular items, studies have been addressing the necessity of diversity which requires the system to recommend unpopular items. By ranking the similarities in terms of stability and considering only the most stable ones, we present a top- n-stability method based on the Heat Conduction algorithm (denoted as TNS-HC henceforth) for solving the stability-accuracy-diversity dilemma. Experiments on four benchmark data sets indicate that the TNS-HC algorithm could significantly improve the recommendation stability and accuracy simultaneously and still retain the high-diversity nature of the Heat Conduction algorithm. Furthermore, we compare the performance of the TNS-HC algorithm with a number of benchmark recommendation algorithms. The result suggests that the TNS-HC algorithm is more efficient in solving the stability-accuracy-diversity triple dilemma of recommender systems.

  19. Measuring Learner's Performance in E-Learning Recommender Systems

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2010-01-01

    A recommender system is a piece of software that helps users to identify the most interesting and relevant learning items from a large number of items. Recommender systems may be based on collaborative filtering (by user ratings), content-based filtering (by keywords), and hybrid filtering (by both collaborative and content-based filtering).…

  20. On-Line Serials System at Laval University Library

    Directory of Open Access Journals (Sweden)

    Rosario de Varennes

    1970-06-01

    Full Text Available Description of a system, operational since June 1968, that provides control of all serials holdings in nine campus libraries, permits updating of the complete file every two or three days, and produces various outputs for library users and library staff from data in variable fields on disks (listings, statistics, etc.. The program, presently operating on an IBM 360/50 and utilizing an IBM 2314 disk-storage facility and three IBM 226 CRT terminals, is written in IBM System/360 Operating System Assembler Language and in PL/I; it could encompass a file of no more than 10 million records of variable length limited to 127/255 characters and subdivided in 25 or fewer fields.

  1. Student project of optical system analysis API-library development

    Science.gov (United States)

    Ivanova, Tatiana; Zhukova, Tatiana; Dantcaranov, Ruslan; Romanova, Maria; Zhadin, Alexander; Ivanov, Vyacheslav; Kalinkina, Olga

    2017-08-01

    In the paper API-library software developed by students of Applied and Computer Optics Department (ITMO University) for optical system design is presented. The library performs paraxial and real ray tracing, calculates 3d order (Seidel) aberration and real ray aberration of axis and non-axis beams (wave, lateral, longitudinal, coma, distortion etc.) and finally, approximate wave aberration by Zernike polynomials. Real aperture can be calculated by considering of real rays tracing failure on each surface. So far we assume optical system is centered, with spherical or 2d order aspherical surfaces. Optical glasses can be set directly by refraction index or by dispersion coefficients. The library can be used for education or research purposes in optical system design area. It provides ready to use software functions for optical system simulation and analysis that developer can simply plug into their software development for different purposes, for example for some specific synthesis tasks or investigation of new optimization modes. In the paper we present an example of using the library for development of cemented doublet synthesis software based on Slusarev's methodology. The library is used in optical system optimization recipes course for deep studying of optimization model and its application for optical system design. Development of such software is an excellent experience for students and help to understanding optical image modeling and quality analysis. This development is organized as student group joint project. We try to organize it as a group in real research and development project, so each student has his own role in the project and then use whole library functionality in his own master or bachelor thesis. Working in such group gives students useful experience and opportunity to work as research and development engineer of scientific software in the future.

  2. Recommended Practice for Securing Control System Modems

    Energy Technology Data Exchange (ETDEWEB)

    James R. Davidson; Jason L. Wright

    2008-01-01

    This paper addresses an often overlooked “backdoor” into critical infrastructure control systems created by modem connections. A modem’s connection to the public telephone system is similar to a corporate network connection to the Internet. By tracing typical attack paths into the system, this paper provides the reader with an analysis of the problem and then guides the reader through methods to evaluate existing modem security. Following the analysis, a series of methods for securing modems is provided. These methods are correlated to well-known networking security methods.

  3. DICOM implementation on online tape library storage system

    Science.gov (United States)

    Komo, Darmadi; Dai, Hailei L.; Elghammer, David; Levine, Betty A.; Mun, Seong K.

    1998-07-01

    The main purpose of this project is to implement a Digital Image and Communications (DICOM) compliant online tape library system over the Internet. Once finished, the system will be used to store medical exams generated from U.S. ARMY Mobile ARMY Surgical Hospital (MASH) in Tuzla, Bosnia. A modified UC Davis implementation of DICOM storage class is used for this project. DICOM storage class user and provider are implemented as the system's interface to the Internet. The DICOM software provides flexible configuration options such as types of modalities and trusted remote DICOM hosts. Metadata is extracted from each exam and indexed in a relational database for query and retrieve purposes. The medical images are stored inside the Wolfcreek-9360 tape library system from StorageTek Corporation. The tape library system has nearline access to more than 1000 tapes. Each tape has a capacity of 800 megabytes making the total nearline tape access of around 1 terabyte. The tape library uses the Application Storage Manager (ASM) which provides cost-effective file management, storage, archival, and retrieval services. ASM automatically and transparently copies files from expensive magnetic disk to less expensive nearline tape library, and restores the files back when they are needed. The ASM also provides a crash recovery tool, which enable an entire file system restore in a short time. A graphical user interface (GUI) function is used to view the contents of the storage systems. This GUI also allows user to retrieve the stored exams and send the exams to anywhere on the Internet using DICOM protocols. With the integration of different components of the system, we have implemented a high capacity online tape library storage system that is flexible and easy to use. Using tape as an alternative storage media as opposed to the magnetic disk has the great potential of cost savings in terms of dollars per megabyte of storage. As this system matures, the Hospital Information Systems

  4. Development of Library Processing System for Neutron Transport Calculation

    Energy Technology Data Exchange (ETDEWEB)

    Song, J. S.; Park, S. Y.; Kim, H. Y. [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)] (and others)

    2008-12-15

    A system for library generation was developed for the lattice neutron transport program for pressurized water reactor core analysis. The system extracts multi energy group nuclear data for requested nuclides from ENDF/B whose data are based on continuous energy, generates hydrogen equivalent factor and resonance integral table as functions of temperature and background cross section for resonance nuclides, generates subgroup data for the lattice program to treat resonance exactly as possible, and generates multi-group neutron library file including nuclide depletion data for use of the lattice program.

  5. TDCCREC: AN EFFICIENT AND SCALABLE WEB-BASED RECOMMENDATION SYSTEM

    Directory of Open Access Journals (Sweden)

    K.Latha

    2010-10-01

    Full Text Available Web browsers are provided with complex information space where the volume of information available to them is huge. There comes the Recommender system which effectively recommends web pages that are related to the current webpage, to provide the user with further customized reading material. To enhance the performance of the recommender systems, we include an elegant proposed web based recommendation system; Truth Discovery based Content and Collaborative RECommender (TDCCREC which is capable of addressing scalability. Existing approaches such as Learning automata deals with usage and navigational patterns of users. On the other hand, Weighted Association Rule is applied for recommending web pages by assigning weights to each page in all the transactions. Both of them have their own disadvantages. The websites recommended by the search engines have no guarantee for information correctness and often delivers conflicting information. To solve them, content based filtering and collaborative filtering techniques are introduced for recommending web pages to the active user along with the trustworthiness of the website and confidence of facts which outperforms the existing methods. Our results show how the proposed recommender system performs better in predicting the next request of web users.

  6. An Interactive Personalized Recommendation System Using the Hybrid Algorithm Model

    Directory of Open Access Journals (Sweden)

    Yan Guo

    2017-10-01

    Full Text Available With the rapid development of e-commerce, the contradiction between the disorder of business information and customer demand is increasingly prominent. This study aims to make e-commerce shopping more convenient, and avoid information overload, by an interactive personalized recommendation system using the hybrid algorithm model. The proposed model first uses various recommendation algorithms to get a list of original recommendation results. Combined with the customer’s feedback in an interactive manner, it then establishes the weights of corresponding recommendation algorithms. Finally, the synthetic formula of evidence theory is used to fuse the original results to obtain the final recommendation products. The recommendation performance of the proposed method is compared with that of traditional methods. The results of the experimental study through a Taobao online dress shop clearly show that the proposed method increases the efficiency of data mining in the consumer coverage, the consumer discovery accuracy and the recommendation recall. The hybrid recommendation algorithm complements the advantages of the existing recommendation algorithms in data mining. The interactive assigned-weight method meets consumer demand better and solves the problem of information overload. Meanwhile, our study offers important implications for e-commerce platform providers regarding the design of product recommendation systems.

  7. Research-paper recommender systems : a literature survey

    OpenAIRE

    Beel, Joeran; Gipp, Bela; Langer, Stefan; Breitinger, Corinna

    2016-01-01

    In the last 16 years, more than 200 research articles were published about research-paper recommender systems. We reviewed these articles and present some descriptive statistics in this paper, as well as a discussion about the major advancements and shortcomings and an overview of the most common recommendation concepts and approaches. We found that more than half of the recommendation approaches applied content-based filtering (55 %). Collaborative filtering was applied by only 18 % of the r...

  8. Challenges and opportunities of using recommender systems for personalized health education.

    Science.gov (United States)

    Fernandez-Luque, Luis; Karlsen, Randi; Vognild, Lars K

    2009-01-01

    The use of computers in health education started more than a decade ago, mainly for tailoring health educational resources. Nowadays, many of the computer-tailoring health education systems are using the Internet for delivering different types of health education. Traditionally, these systems are designed for a specific health problem, with a predefined library of educational resources. These systems do not take advantage of the increasing amount of educational resources available on the Internet. One of the reasons is that the high availability of content is making it more difficult to find the relevant one. The problem of information overload has been addressed for many years in the field of recommender systems. This paper is focused on the challenges and opportunities of merging recommender systems with personalized health education. It also discusses the usage of social networks and semantic technologies within this approach.

  9. Designing a Mobile Based Library Information and Service Delivery System: A Model Plan for Libraries of Bangladesh

    Directory of Open Access Journals (Sweden)

    Elahi, Md. Hasinul

    2016-09-01

    Full Text Available Purpose The purpose of the study is to identify the need of a mobile based library information and service delivery system in developing countries, identify the services that are possible to provide with the help of mobile phones and their applications, design a mobile based library information and service delivery system, and identify major challenges regarding mobile based library information and service delivery systems.Design/ Methodology/ Approach The research is exploratory in nature. This paper is based on a review of literature, survey information, and on the author’s own viewpoints. A comprehensive search of scientific literature has been done along with a survey for validating the necessity of designing mobile based library information and service delivery systems. Responses to closed-ended questions in particular on 7-point Likert scales were analyzed using the descriptive analysis techniques of SPSS 20.0 and responses to other closed-ended questions were analyzed using general statistics.Findings The research indicates that users of academic libraries, especially students and faculty members, have a positive notion regarding designing and implementing a mobile based library information and service delivery system. It also reveals user opinions regarding the possible problems associated with the design and implementation of a mobile based library information and service delivery system.Originality The paper explores mobile based library information and service delivery systems for better and faster service provision to its potential users.

  10. Private personalized social recommendations in an IPTV system

    Science.gov (United States)

    Elmisery, Ahmed M.

    2014-04-01

    In our connected world, recommender systems have become widely known for their ability to provide expert and personalize referrals to end-users in different domains. The rapid growth of social networks and new kinds of systems so called "social recommender systems" are rising, where recommender systems can be utilized to find a suitable content according to end-users' personal preferences. However, preserving end-users' privacy in social recommender systems is a very challenging problem that might prevent end-users from releasing their own data, which detains the accuracy of extracted referrals. In order to gain accurate referrals, social recommender systems should have the ability to preserve the privacy of end-users registered in this system. In this paper, we present a middleware that runs on end-users' Set-top boxes to conceal their profile data when released for generating referrals, such that computation of recommendation proceeds over the concealed data. The proposed middleware is equipped with two concealment protocols to give users a complete control on the privacy level of their profiles. We present an IPTV network scenario and perform a number of different experiments to test the efficiency and accuracy of our protocols. As supported by the experiments, our protocols maintain the recommendations accuracy with acceptable privacy level.

  11. Precomputed Clustering for Movie Recommendation System in Real Time

    Directory of Open Access Journals (Sweden)

    Bo Li

    2014-01-01

    of recommendation systems grows, we started working on the movie recommendation systems. Most research efforts in the fields of movie recommendation system are focusing on discovering the most relevant features from users, or seeking out users who share same tastes as that of the given user as well as recommending the movies according to the liking of these sought users or seeking out users who share a connection with other people (friends, classmates, colleagues, etc. and make recommendations based on those related people’s tastes. However, little research has focused on recommending movies based on the movie’s features. In this paper, we present a novel idea that applies machine learning techniques to construct a cluster for the movie by implementing a distance matrix based on the movie features and then make movie recommendation in real time. We implement some different clustering methods and evaluate their performance in a real movie forum website owned by one of our authors. This idea can also be used in other types of recommendation systems such as music, news, and articles.

  12. Contexts in a Paper Recommendation System with Collaborative Filtering

    Science.gov (United States)

    Winoto, Pinata; Tang, Tiffany Ya; McCalla, Gordon

    2012-01-01

    Making personalized paper recommendations to users in an educational domain is not a trivial task of simply matching users' interests with a paper topic. Therefore, we proposed a context-aware multidimensional paper recommendation system that considers additional user and paper features. Earlier experiments on experienced graduate students…

  13. Improvement of recommender systems considering big data of users ...

    African Journals Online (AJOL)

    ... Spark processing model in Hadoop context in order for more exact advising the user from the viewpoint of the users. The obtained results indicate that the current method will be more efficient and effective compared to the common recommendation methods. Keywords: recommender systems; big data; sentiment analysis; ...

  14. Privacy-Preserving Content-Based Recommender System

    NARCIS (Netherlands)

    Erkin, Z.; Beye, M.; Veugen, P.J.M.; Lagendijk, R.L.

    2012-01-01

    By offering personalized content to users, recommender systems have become a vital tool in e-commerce and online media applications. Content-based algorithms recommend items or products to users, that are most similar to those previously purchased or consumed. Unfortunately, collecting and storing

  15. Goal-based structuring in a recommender systems

    NARCIS (Netherlands)

    Magoulas, G.D.; van Setten, Mark; Veenstra, Mettina; Chen, S.Y; Nijholt, Antinus; van Dijk, Elisabeth M.A.G.

    Recommender systems help people to find information that is interesting to them. However, current recommendation techniques only address the user's short-term and long-term interests, not their immediate interests. This paper describes a method to structure information (with or without using

  16. Enhancing Learning while Creating a Library Presence in Course Management Systems

    Science.gov (United States)

    Mairn, Chad

    2010-01-01

    Web 2.0 has made information more accessible and offers opportunities to make library resources more visible. This article presents several strategies for incorporating libraries and library resources into Web sites and course management systems. The tools presented are appropriate for many types of libraries and work with most Web-based systems.…

  17. Planning and Evaluating Library System Services in Illinois.

    Science.gov (United States)

    Michael, Mary Ellen; Young, Arthur P.

    This manual was conceived as a reference guide for Illinois' 18 library systems to use in their long-range planning and evaluation program. Section 1 of the manual explains the planning model: Context Input Process Product (CIPP). CIPP was selected as a coherent adaptation and modification of many previous planning and design methods: systems…

  18. Digital Libraries: The Next Generation in File System Technology.

    Science.gov (United States)

    Bowman, Mic; Camargo, Bill

    1998-01-01

    Examines file sharing within corporations that use wide-area, distributed file systems. Applications and user interactions strongly suggest that the addition of services typically associated with digital libraries (content-based file location, strongly typed objects, representation of complex relationships between documents, and extrinsic…

  19. Directory of Library Automation Software, Systems, and Services. 1998 Edition.

    Science.gov (United States)

    Cibbarelli, Pamela R., Ed.; Cibbarelli, Shawn E., Ed.

    This book includes basic information to locate and compare available options for library automation based on various criteria such as hardware requirements, operating systems, components and applications, and price, and provides the necessary contact information to allow further investigation. The major part of the directory lists 211 software…

  20. Three-Dimensional Extension of a Digital Library Service System

    Science.gov (United States)

    Xiao, Long

    2010-01-01

    Purpose: The paper aims to provide an overall methodology and case study for the innovation and extension of a digital library, especially the service system. Design/methodology/approach: Based on the three-dimensional structure theory of the information service industry, this paper combines a comprehensive analysis with the practical experiences…

  1. Promoting cold-start items in recommender systems.

    Science.gov (United States)

    Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

    2014-01-01

    As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs.

  2. Promoting Cold-Start Items in Recommender Systems

    Science.gov (United States)

    Liu, Jin-Hu; Zhou, Tao; Zhang, Zi-Ke; Yang, Zimo; Liu, Chuang; Li, Wei-Min

    2014-01-01

    As one of the major challenges, cold-start problem plagues nearly all recommender systems. In particular, new items will be overlooked, impeding the development of new products online. Given limited resources, how to utilize the knowledge of recommender systems and design efficient marketing strategy for new items is extremely important. In this paper, we convert this ticklish issue into a clear mathematical problem based on a bipartite network representation. Under the most widely used algorithm in real e-commerce recommender systems, the so-called item-based collaborative filtering, we show that to simply push new items to active users is not a good strategy. Interestingly, experiments on real recommender systems indicate that to connect new items with some less active users will statistically yield better performance, namely, these new items will have more chance to appear in other users' recommendation lists. Further analysis suggests that the disassortative nature of recommender systems contributes to such observation. In a word, getting in-depth understanding on recommender systems could pave the way for the owners to popularize their cold-start products with low costs. PMID:25479013

  3. A Transitive Recommendation System for Information Technology Communities

    Directory of Open Access Journals (Sweden)

    Hesham Ali

    2013-06-01

    Full Text Available Social networks have become a new trend for research among computer scientist around the world. Social network had an impact on users' way of life. One of social network usages is recommendation systems. The need of recommendation systems is arising when users try to know best choice for them in many items types (books, experts, locations, technologies...etc. The problem is that a single person can't try all alternatives in all possibles life goals to compare. Thus, a person has to use his friends' expertise to select better option in any item category. This process is the main idea of “Recommendation Systems”. Recommendation systems usually depend on users-to-items ratings in a network (graph. Two main challenges for recommendation systems are accuracy of recommendation and computation size. The main objective of this paper is to introduce a suggested technique for transitive recommendation system based on users' collaborative ratings, and also to balance loading of computation. All this has to be applied on a special type of social network. Our work studied the transitivity usage in connections to get a relation (path as a recommendation for nodes not directly connected. The target social network has eight types of nodes. So, there are techniques that are not suitable to this complex type of network. Those we can present a new support for recommending items of several types to users with several types. We believe that this functionality hasn't been fully provided elsewhere. We have suggested using single source shortest path algorithm combined with Map Reduce technique, and mathematically deduced that we have a speeding up of algorithm by 10% approximately. Our testing results shows an accuracy of 89% and false rejection of 99% compared to traditional algorithms with less configuration parameters and more steady count of recommendations.

  4. Research on the Application of Persona in Book Recommendation System

    Science.gov (United States)

    Gao, Baozhong; Du, Shouyan; Li, Xinzhi; Liu, Fangai

    2017-10-01

    Currently, there still exists a host of problems in the book recommendation system, such as low accuracy, weak correlation and poor pertinence. Aiming to unravel these problems, this paper based on the theory of big data and data mining technology, through analyzing internet user behavior and the “5C” model of personal credit evaluation, combined with joint impact weight calculation method, which involves user grade, borrowing credit, book friend recommendation degree, book friend recommended adoption degree, borrowing frequency, borrowing number, and borrowing time interval. User activity and credit are also taken into account in the process of establishing user tagging system so as to build classified book recommendation service. This method is of universal meaning to the book recommendation service of smart campus with user as the core under big data environment.

  5. Incorporating popularity in a personalized news recommender system

    Directory of Open Access Journals (Sweden)

    Nirmal Jonnalagedda

    2016-06-01

    Full Text Available Online news reading has become a widely popular way to read news articles from news sources around the globe. With the enormous amount of news articles available, users are easily overwhelmed by information of little interest to them. News recommender systems help users manage this flood by recommending articles based on user interests rather than presenting articles in order of their occurrence. We present our research on developing personalized news recommendation system with the help of a popular micro-blogging service, “Twitter.” News articles are ranked based on the popularity of the article identified from Twitter’s public timeline. In addition, users construct profiles based on their interests and news articles are also ranked based on their match to the user profile. By integrating these two approaches, we present a hybrid news recommendation model that recommends interesting news articles to the user based on their popularity as well as their relevance to the user profile.

  6. Rural applications of advanced traveler information systems : recommended actions

    Science.gov (United States)

    1997-07-01

    The Recommended Action Plan is one in a series of interim documents for the Rural Applications of Advanced Traveler Information Systems (ATIS) project. Based on the investigation of user needs, a technology review, and concept development and assessm...

  7. Personal recommender system to advice learning tasks in Moodle

    NARCIS (Netherlands)

    Drachsler, Hendrik; Van den Berg, Bert; Nadolski, Rob; Berlanga, Adriana; Hummel, Hans

    2007-01-01

    Drachsler, H., Van den Berg, B., Nadolski, R., Berlanga, A., & Hummel, H. (2007). Personal recommender system to advise learning tasks in Moodle. [Software source code and documentation] Available under the three clause BSD licence, Copyright TENCompetence Foundation.

  8. The Evolution of Discovery Systems in Academic Libraries: A Case Study at the University of Houston Libraries

    Science.gov (United States)

    Guajardo, Richard; Brett, Kelsey; Young, Frederick

    2017-01-01

    For the past several years academic libraries have been adopting discovery systems to provide a search experience that reflects user expectations and improves access to electronic resources. University of Houston Libraries has kept pace with this evolving trend by pursuing various discovery options; these include an open-source tool, a federated…

  9. Nigerian Library Staff and Their Perceptions of Health Risks Posed by Using Computer-Based Systems in University Libraries

    Science.gov (United States)

    Uwaifo, Stephen Osahon

    2008-01-01

    Purpose: The paper seeks to examine the health risks faced when using computer-based systems by library staff in Nigerian libraries. Design/methodology/approach: The paper uses a survey research approach to carry out this investigation. Findings: The investigation reveals that the perceived health risk does not predict perceived ease of use of…

  10. A Personalized Tag-Based Recommendation in Social Web Systems

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2009-01-01

    Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. In this paper, we present a tag-base...... to study and evaluate the recommender system, we have conducted an experiment involving 38 people from 12 countries using data from Del.icio.us , a social bookmarking web system on which users can share their personal bookmarks...

  11. Lime and fertilizer recommendation system for coconut trees

    Directory of Open Access Journals (Sweden)

    Gustavo Nogueira Guedes Pereira Rosa

    2011-02-01

    Full Text Available Fertilizer recommendation to most agricultural crops is based on response curves. Such curves are constructed from field experimental data, obtained for a particular condition and may not be reliable to be applied to other regions. The aim of this study was to develop a Lime and Fertilizer Recommendation System for Coconut Crop based on the nutritional balance. The System considers the expected productivity and plant nutrient use efficiency to estimate nutrient demand, and effective rooting layer, soil nutrient availability, as well as any other nutrient input to estimate the nutrient supply. Comparing the nutrient demand with the nutrient supply the System defines the nutrient balance. If the balance for a given nutrient is negative, lime and, or, fertilization is recommended. On the other hand, if the balance is positive, no lime or fertilizer is needed. For coconut trees, the fertilization regime is divided in three stages: fertilization at the planting spot, band fertilization and fertilization at the production phase. The data set for the development of the System for coconut trees was obtained from the literature. The recommendations generated by the System were compared to those derived from recommendation tables used for coconut crop in Brazil. The main differences between the two procedures were for the P rate applied in the planting hole, which was higher in the proposed System because the tables do not pay heed to the pit volume, whereas the N and K rates were lower. The crop demand for K is very high, and the rates recommended by the System are superior to the table recommendations for the formation and initial production stage. The fertilizer recommendations by the System are higher for the phase of coconut tree growth as compared to the production phase, because greater amount of biomass is produced in the first phase.

  12. A Top-N Recommender System Evaluation Protocol Inspired by Deployed Systems

    NARCIS (Netherlands)

    A. Said (Alan); A. Bellogín Kouki (Alejandro); A.P. de Vries (Arjen)

    2013-01-01

    htmlabstractThe evaluation of recommender systems is crucial for their development. In today's recommendation landscape there are many standardized recommendation algorithms and approaches, however, there exists no standardized method for experimental setup of evaluation -- not even for widely used

  13. Web Services and Widgets for Library Information Systems

    Directory of Open Access Journals (Sweden)

    Godmar Back

    2010-06-01

    Full Text Available As more libraries integrate information from web services to enhance their online public displays, techniques that facilitate this integration are needed. This paper presents a technique for such integration that is based on HTML widgets. We discuss three example systems (Google Book Classes, Tictoclookup, and MAJAX that implement this technique. These systems can be easily adapted without requiring programming experience or expensive hosting.

  14. The simulation library of the Belle II software system

    Science.gov (United States)

    Kim, D. Y.; Ritter, M.; Bilka, T.; Bobrov, A.; Casarosa, G.; Chilikin, K.; Ferber, T.; Godang, R.; Jaegle, I.; Kandra, J.; Kodys, P.; Kuhr, T.; Kvasnicka, P.; Nakayama, H.; Piilonen, L.; Pulvermacher, C.; Santelj, L.; Schwenker, B.; Sibidanov, A.; Soloviev, Y.; Starič, M.; Uglov, T.

    2017-10-01

    SuperKEKB, the next generation B factory, has been constructed in Japan as an upgrade of KEKB. This brand new e+ e- collider is expected to deliver a very large data set for the Belle II experiment, which will be 50 times larger than the previous Belle sample. Both the triggered physics event rate and the background event rate will be increased by at least 10 times than the previous ones, and will create a challenging data taking environment for the Belle II detector. The software system of the Belle II experiment is designed to execute this ambitious plan. A full detector simulation library, which is a part of the Belle II software system, is created based on Geant4 and has been tested thoroughly. Recently the library has been upgraded with Geant4 version 10.1. The library is behaving as expected and it is utilized actively in producing Monte Carlo data sets for various studies. In this paper, we will explain the structure of the simulation library and the various interfaces to other packages including geometry and beam background simulation.

  15. Changing Paradigms: From Schooling to Schools as Adaptive Recommendation Systems

    Science.gov (United States)

    Petersen, Anne Kristine; Christiansen, Rene B.; Gynther, Karsten

    2017-01-01

    The paper explores a shift in education from educational systems requiring student adaptation to educational recommendation systems adapting to students' individual needs. The paper discusses the concept of adaptation as addressed in educational research and draws on the system theory of Heinz von Foerster to shed light on how the educational…

  16. A Conceptual Framework for Evolving, Recommender Online Learning Systems

    Science.gov (United States)

    Peiris, K. Dharini Amitha; Gallupe, R. Brent

    2012-01-01

    A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

  17. Possibilities for a Reference and Research Library System in the Buffalo-Niagara Region.

    Science.gov (United States)

    Nelson Associates, Inc., Washington, DC.

    This survey to determine how the library resources in the Buffalo-Niagara area might be utilized in a regional Reference and Research Library Resources (3R's) system studied: (1) area library resources, (2) strength of the libraries at the State University of New York at Buffalo (SUNY Buffalo) and the Buffalo and Erie County Public Library…

  18. FERTILIZER RECOMMENDATION SYSTEM FOR MELON BASED ON NUTRITIONAL BALANCE

    Directory of Open Access Journals (Sweden)

    José Aridiano Lima de Deus

    2015-04-01

    Full Text Available Melon is one of the most demanding cucurbits regarding fertilization, requiring knowledge of soils, crop nutritional requirements, time of application, and nutrient use efficiency for proper fertilization. Developing support systems for decision-making for fertilization that considers these variables in nutrient requirement and supply is necessary. The objective of this study was parameterization of a fertilizer recommendation system for melon (Ferticalc-melon based on nutritional balance. To estimate fertilizer recommendation, the system considers the requirement subsystem (REQ, which includes the demand for nutrients by the plant, and the supply subsystem (SUP, which corresponds to the supply of nutrients through the soil and irrigation water. After determining the REQtotal and SUPtotal, the system calculates the nutrient balances for N, P, K, Ca, Mg, and S, recommending fertilizer application if the balance is negative (SUP < REQ, but not if the balance is positive or zero (SUP ≥ REQ. Simulations were made for different melon types (Yellow, Cantaloupe, Galia and Piel-de-sapo, with expected yield of 45 t ha-1. The system estimated that Galia type was the least demanding in P, while Piel-de-sapo was the most demanding. Cantaloupe was the least demanding for N and Ca, while the Yellow type required less K, Mg, and S. As compared to other fertilizer recommendation methods adopted in Brazil, the Ferticalc system was more dynamic and flexible. Although the system has shown satisfactory results, it needs to be evaluated under field conditions to improve its recommendations.

  19. A collaborative approach for research paper recommender system

    Science.gov (United States)

    Akmar Ismail, Maizatul; Damiasih, Damiasih; Sutopo, Joko; Herawan, Tutut

    2017-01-01

    Research paper recommenders emerged over the last decade to ease finding publications relating to researchers’ area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user’s expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list. PMID:28981512

  20. A collaborative approach for research paper recommender system.

    Science.gov (United States)

    Haruna, Khalid; Akmar Ismail, Maizatul; Damiasih, Damiasih; Sutopo, Joko; Herawan, Tutut

    2017-01-01

    Research paper recommenders emerged over the last decade to ease finding publications relating to researchers' area of interest. The challenge was not just to provide researchers with very rich publications at any time, any place and in any form but to also offer the right publication to the right researcher in the right way. Several approaches exist in handling paper recommender systems. However, these approaches assumed the availability of the whole contents of the recommending papers to be freely accessible, which is not always true due to factors such as copyright restrictions. This paper presents a collaborative approach for research paper recommender system. By leveraging the advantages of collaborative filtering approach, we utilize the publicly available contextual metadata to infer the hidden associations that exist between research papers in order to personalize recommendations. The novelty of our proposed approach is that it provides personalized recommendations regardless of the research field and regardless of the user's expertise. Using a publicly available dataset, our proposed approach has recorded a significant improvement over other baseline methods in measuring both the overall performance and the ability to return relevant and useful publications at the top of the recommendation list.

  1. Extending a Hybrid Tag-Based Recommender System with Personalization

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2010-01-01

    extension for a hybrid tag-based recommender system, which suggests similar Web pages based on the similarity of their tags. The semantic extension aims at discovering tag relations which are not considered in basic syntax similarity. With the goal of generating more semantically grounded recommendations......, the proposal extends a hybrid tag-based recommender system with a semantic factor, which looks for tag relations in different semantic sources. In order to evaluate the benefits acquired with the semantic extension, we have compared the new findings with results from a previous experiment involving 38 people......Tagging activity has been recently identified as a potential source of knowledge about personal interests, preferences, goals, and other attributes known from user models. Tags themselves can be therefore used for finding personalized recommendations of items. This paper proposes a semantic...

  2. Recommender System for Sales at Material Store Using Fuzzy Tsukamoto

    Directory of Open Access Journals (Sweden)

    July Kurniawan

    2016-02-01

    Full Text Available The retail business has developed very rapidly, especially in Indonesia. One of them is material stores that have not applied the technology and still manual. In this modern era of buying and selling consumers need systems to assist in overcoming problems in terms of recommend items based on customer needs. The aim of this study is to determine the needs of consumers to recommend the necessary consumer goods. This system will simplify these processes, by utilizing information technology using Tsukamoto fuzzy logic. So that consumer demand for faster and more accurate in recommending goods could be accommodated. This research outlines what is needed to overcome the problems that had been experienced by consumers with a lack of information. The recommendations of this study is the form that refers to the percentage of goods from the predictions that have been studied previously.

  3. Automation and Networking for Florida Libraries. 1988-Report 3. Report and Recommendations of the Postsecondary Education Planning Commission.

    Science.gov (United States)

    Florida State Postsecondary Education Planning Commission, Tallahassee.

    This report details the findings of the Florida Postsecondary Education Planning Commission in its evaluation of the Florida Center for Library Automation (FCLA), library automation in Florida, and networking and resource sharing among the state's libraries. An introductory chapter defines terms and outlines data gathering activities, while the…

  4. Dynamic combinatorial libraries: new opportunities in systems chemistry.

    Science.gov (United States)

    Hunt, Rosemary A R; Otto, Sijbren

    2011-01-21

    Combinatorial chemistry is a tool for selecting molecules with special properties. Dynamic combinatorial chemistry started off aiming to be just that. However, unlike ordinary combinatorial chemistry, the interconnectedness of dynamic libraries gives them an extra dimension. An understanding of these molecular networks at systems level is essential for their use as a selection tool and creates exciting new opportunities in systems chemistry. In this feature article we discuss selected examples and considerations related to the advanced exploitation of dynamic combinatorial libraries for their originally conceived purpose of identifying strong binding interactions. Also reviewed are examples illustrating a trend towards increasing complexity in terms of network behaviour and reversible chemistry. Finally, new applications of dynamic combinatorial chemistry in self-assembly, transport and self-replication are discussed.

  5. Library automation: software evaluation, final report, February 5, 1988

    National Research Council Canada - National Science Library

    Duncan, D

    1988-01-01

    An internal study completed in May, 1987 recommended that DFO libraries adopt the use of microcomputers for local library systems encompassing Acquisition, Catalogue/Inquiry, Circulation, and Serials Control sub-systems...

  6. RARD: The Related-Article Recommendation Dataset

    OpenAIRE

    Beel, Joeran; Carevic, Zeljko; Schaible, Johann; Neusch, Gabor

    2017-01-01

    Recommender-system datasets are used for recommender-system evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recommender systems in the domains of movies, books, and music, there are rather few datasets from research-paper recommender systems. In this paper, we introduce RARD, the Related-Article Recommendation Dataset, from the digital library Sowiport and the recommendation-as-a-service provider Mr. DLib. The dataset contains ...

  7. PERSON-Personalized Expert Recommendation System for Optimized Nutrition.

    Science.gov (United States)

    Chen, Chih-Han; Karvela, Maria; Sohbati, Mohammadreza; Shinawatra, Thaksin; Toumazou, Christofer

    2018-02-01

    The rise of personalized diets is due to the emergence of nutrigenetics and genetic tests services. However, the recommendation system is far from mature to provide personalized food suggestion to consumers for daily usage. The main barrier of connecting genetic information to personalized diets is the complexity of data and the scalability of the applied systems. Aiming to cross such barriers and provide direct applications, a personalized expert recommendation system for optimized nutrition is introduced in this paper, which performs direct to consumer personalized grocery product filtering and recommendation. Deep learning neural network model is applied to achieve automatic product categorization. The ability of scaling with unknown new data is achieved through the generalized representation of word embedding. Furthermore, the categorized products are filtered with a model based on individual genetic data with associated phenotypic information and a case study with databases from three different sources is carried out to confirm the system.

  8. Classification process in a text document recommender system

    Directory of Open Access Journals (Sweden)

    Dan MUNTEANU

    2005-12-01

    Full Text Available This paper presents the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.

  9. Classification process in a text document recommender system

    OpenAIRE

    Dan MUNTEANU; Severin BUMBARU

    2005-01-01

    This paper presents the classification process in a recommender system used for textual documents taken especially from web. The system uses in the classification process a combination of content filters, event filters and collaborative filters and it uses implicit and explicit feedback for evaluating documents.

  10. Outcome-driven Evaluation Metrics for Treatment Recommendation Systems.

    Science.gov (United States)

    Mei, Jing; Liu, Haifeng; Li, Xiang; Yu, Yiqin; Xie, Guotong

    2015-01-01

    Treatment recommendation systems aim to providing clinical decision supports, e.g. with integration of Computerized Physician Order Entry (CPOE). One of the most significant issue is the quality of recommendations which needs to be quantified, before getting the acceptance from physicians. In computer science, such evaluations are typically performed by applying appropriate metrics that provides a comparison of different systems. However, a big challenge for evaluating treatment recommendation systems is that ground truth is only partially observed. In this paper, we propose an outcome-driven evaluation methodology, and present five metrics (i.e. precision, recall, accuracy, relative risk and odds ratio) with highlight of their statistic meanings in clinical context. The experimental results are based on the comparison of two well-developed treatment recommendation systems (one is knowledge-driven and based on clinical practice guidelines, while the other is data-driven and based on patient similarity analysis), using our proposed evaluation metrics. As a conclusion, physicians are less prone to comply with clinical guidelines, but once following guideline recommendations, it is much more likely to get good outcomes than not following.

  11. A Decision Fusion Framework for Treatment Recommendation Systems.

    Science.gov (United States)

    Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin

    2015-01-01

    Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.

  12. Solving the apparent diversity-accuracy dilemma of recommender systems.

    Science.gov (United States)

    Zhou, Tao; Kuscsik, Zoltán; Liu, Jian-Guo; Medo, Matús; Wakeling, Joseph Rushton; Zhang, Yi-Cheng

    2010-03-09

    Recommender systems use data on past user preferences to predict possible future likes and interests. A key challenge is that while the most useful individual recommendations are to be found among diverse niche objects, the most reliably accurate results are obtained by methods that recommend objects based on user or object similarity. In this paper we introduce a new algorithm specifically to address the challenge of diversity and show how it can be used to resolve this apparent dilemma when combined in an elegant hybrid with an accuracy-focused algorithm. By tuning the hybrid appropriately we are able to obtain, without relying on any semantic or context-specific information, simultaneous gains in both accuracy and diversity of recommendations.

  13. TrustRank: a Cold-Start tolerant recommender system

    Science.gov (United States)

    Zou, Haitao; Gong, Zhiguo; Zhang, Nan; Zhao, Wei; Guo, Jingzhi

    2015-02-01

    The explosive growth of the World Wide Web leads to the fast advancing development of e-commerce techniques. Recommender systems, which use personalised information filtering techniques to generate a set of items suitable to a given user, have received considerable attention. User- and item-based algorithms are two popular techniques for the design of recommender systems. These two algorithms are known to have Cold-Start problems, i.e., they are unable to effectively handle Cold-Start users who have an extremely limited number of purchase records. In this paper, we develop TrustRank, a novel recommender system which handles the Cold-Start problem by leveraging the user-trust networks which are commonly available for e-commerce applications. A user-trust network is formed by friendships or trust relationships that users specify among them. While it is straightforward to conjecture that a user-trust network is helpful for improving the accuracy of recommendations, a key challenge for using user-trust network to facilitate Cold-Start users is that these users also tend to have a very limited number of trust relationships. To address this challenge, we propose a pre-processing propagation of the Cold-Start users' trust network. In particular, by applying the personalised PageRank algorithm, we expand the friends of a given user to include others with similar purchase records to his/her original friends. To make this propagation algorithm scalable to a large amount of users, as required by real-world recommender systems, we devise an iterative computation algorithm of the original personalised TrustRank which can incrementally compute trust vectors for Cold-Start users. We conduct extensive experiments to demonstrate the consistently improvement provided by our proposed algorithm over the existing recommender algorithms on the accuracy of recommendations for Cold-Start users.

  14. Anti-folksonomical Recommender System for Social Bookmarking Service

    Science.gov (United States)

    Sasaki, Akira; Miyata, Takamichi; Inazumi, Yasuhiro; Kobayashi, Aki; Sakai, Yoshinori

    Social bookmarking has been in the spotlight recently. Social bookmarking allows users to add several keywords called tags to items they bookmarked. Many previous works on social bookmarking using actual words for tags, called folksonomy, have come out. However, essential information of tags is in the classification of items by tags. Based on this assumption, we propose an anti-folksonomical recommendation system for calculating similarities between groups of items classified according to tags. In addition, we use hypothesis testing to improve these similarities based on statistical reliability. The experimental results show that our proposed system provides an appropriate recommendation result even if users tagged with different keywords.

  15. Recruitment recommendation system based on fuzzy measure and indeterminate integral

    Science.gov (United States)

    Yin, Xin; Song, Jinjie

    2017-08-01

    In this study, we propose a comprehensive evaluation approach based on indeterminate integral. By introducing the related concepts of indeterminate integral and their formulas into the recruitment recommendation system, we can calculate the suitability of each job for different applicants with the defined importance for each criterion listed in the job advertisements, the association between different criteria and subjective assessment as the prerequisite. Thus we can make recommendations to the applicants based on the score of the suitability of each job from high to low. In the end, we will exemplify the usefulness and practicality of this system with samples.

  16. Health recommender systems: concepts, requirements, technical basics and challenges.

    Science.gov (United States)

    Wiesner, Martin; Pfeifer, Daniel

    2014-03-03

    During the last decades huge amounts of data have been collected in clinical databases representing patients' health states (e.g., as laboratory results, treatment plans, medical reports). Hence, digital information available for patient-oriented decision making has increased drastically but is often scattered across different sites. As as solution, personal health record systems (PHRS) are meant to centralize an individual's health data and to allow access for the owner as well as for authorized health professionals. Yet, expert-oriented language, complex interrelations of medical facts and information overload in general pose major obstacles for patients to understand their own record and to draw adequate conclusions. In this context, recommender systems may supply patients with additional laymen-friendly information helping to better comprehend their health status as represented by their record. However, such systems must be adapted to cope with the specific requirements in the health domain in order to deliver highly relevant information for patients. They are referred to as health recommender systems (HRS). In this article we give an introduction to health recommender systems and explain why they are a useful enhancement to PHR solutions. Basic concepts and scenarios are discussed and a first implementation is presented. In addition, we outline an evaluation approach for such a system, which is supported by medical experts. The construction of a test collection for case-related recommendations is described. Finally, challenges and open issues are discussed.

  17. Health Recommender Systems: Concepts, Requirements, Technical Basics and Challenges

    Directory of Open Access Journals (Sweden)

    Martin Wiesner

    2014-03-01

    Full Text Available During the last decades huge amounts of data have been collected in clinical databases representing patients’ health states (e.g., as laboratory results, treatment plans, medical reports. Hence, digital information available for patient-oriented decision making has increased drastically but is often scattered across different sites. As as solution, personal health record systems (PHRS are meant to centralize an individual’s health data and to allow access for the owner as well as for authorized health professionals. Yet, expert-oriented language, complex interrelations of medical facts and information overload in general pose major obstacles for patients to understand their own record and to draw adequate conclusions. In this context, recommender systems may supply patients with additional laymen-friendly information helping to better comprehend their health status as represented by their record. However, such systems must be adapted to cope with the specific requirements in the health domain in order to deliver highly relevant information for patients. They are referred to as health recommender systems (HRS. In this article we give an introduction to health recommender systems and explain why they are a useful enhancement to PHR solutions. Basic concepts and scenarios are discussed and a first implementation is presented. In addition, we outline an evaluation approach for such a system, which is supported by medical experts. The construction of a test collection for case-related recommendations is described. Finally, challenges and open issues are discussed.

  18. Minnesota: Library Automation and Technology in Libraries.

    Science.gov (United States)

    Feye-Stukas, Jan

    1996-01-01

    Provides an overview of library automation in Minnesota. Topics include regional public library systems; library automation vendors; multitype library systems; postsecondary and academic libraries; state government libraries; the Internet; telecommunications and statewide online system legislation and funding; and state library agency involvement…

  19. Changing Paradigms: From Schooling to Schools as Adaptive Recommendation Systems

    DEFF Research Database (Denmark)

    Christiansen, René Boyer; Gynther, Karsten; Petersen, Anne Kristine

    2017-01-01

    The paper explores a shift in education from educational systems requiring student adaptation to educational recommendation systems adapting to students’ individual needs. The paper discusses the concept of adaptation as addressed in educational research and draws on the system theory of Heinz vo...... by presenting a case, which is methodologically inspired by Design-Based Research, in the form of a special type of adaptive MOOC, the so-called adaptive SPOC (Small Private Online Course)....

  20. Clustering Algorithms in Hybrid Recommender System on MovieLens Data

    Directory of Open Access Journals (Sweden)

    Kuzelewska Urszula

    2014-08-01

    Full Text Available Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during surfing the Internet: selecting web sites to explore, choosing needed information in search engine results or deciding which product to buy in an on-line store. Recommender systems are electronic applications, the aim of which is to support humans in this decision making process. They are widely used in many applications: adaptive WWW servers, e-learning, music and video preferences, internet stores etc. In on-line solutions, such as e-shops or libraries, the aim of recommendations is to show customers the products which they are probably interested in. As input data the following are taken: shopping basket archives, ratings of the products or servers log files.

  1. Recommended Practice for Patch Management of Control Systems

    Energy Technology Data Exchange (ETDEWEB)

    Steven Tom; Dale Christiansen; Dan Berrett

    2008-12-01

    A key component in protecting a nation’s critical infrastructure and key resources is the security of control systems. The term industrial control system refers to supervisory control and data acquisition, process control, distributed control, and any other systems that control, monitor, and manage the nation’s critical infrastructure. Critical Infrastructure and Key Resources (CIKR) consists of electric power generators, transmission systems, transportation systems, dam and water systems, communication systems, chemical and petroleum systems, and other critical systems that cannot tolerate sudden interruptions in service. Simply stated, a control system gathers information and then performs a function based on its established parameters and the information it receives. The patch management of industrial control systems software used in CIKR is inconsistent at best and nonexistent at worst. Patches are important to resolve security vulnerabilities and functional issues. This report recommends patch management practices for consideration and deployment by industrial control systems owners.

  2. Personalised Information Gathering and Recommender Systems: Techniques and Trends

    Directory of Open Access Journals (Sweden)

    Xiaohui Tao

    2013-02-01

    Full Text Available With the explosive growth of resources available through the Internet, information mismatching and overload have become a severe concern to users.Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant and reliable information in a timely manner. Personalised information gathering and recommender systems represent state-of-the-art tools for efficient selection of the most relevant and reliable information resources, and the interest in such systems has increased dramatically over the last few years. However, web personalization has not yet been well-exploited; difficulties arise while selecting resources through recommender systems from a technological and social perspective. Aiming to promote high quality research in order to overcome these challenges, this paper provides a comprehensive survey on the recent work and achievements in the areas of personalised web information gathering and recommender systems. The report covers concept-based techniques exploited in personalised information gathering and recommender systems.

  3. 3D Senor-based Library Navigation System

    Directory of Open Access Journals (Sweden)

    Abdel-Mehsen Ahmad

    2017-06-01

    Full Text Available The discussed system in this paper uses the Kinect’s 3D input (acquired through IR projector and Camera to detect gestures and then based on these gestures perform certain tasks, and display certain results on an output screen. The programming language used here is the Processing open source software and a database was implemented to manage the data required within the system. The deigned system was created for a library but the system’s design is broad enough to allow its utilization in many more domains. Implementation, system screenshots, simulation and results are discussed along with testing the system in different condition of light and distance. Some simple additions have been added to this version of the program to facilitate the interaction between the user and the system further.

  4. An Integrated Library System on the CERN Document Server

    CERN Document Server

    Rodrigues Silvestre, Joaquim Jorge; Le Meur, Jean-Yves; Šimko, Tibor

    2010-01-01

    CERN – The European Organization for Nuclear Research – is one of the largest research centres worldwide, responsible for several discoveries in physics as well as in computer science. The CERN Document Server, also known as CDS Invenio, is a software developed at CERN, which aims to provide a set of tools for managing digital libraries. In order to improve the functionalities of CDS Invenio a new module was developed , called BibCirculation, to manage books (and other items) from the CERN library, and working as an Integrated Library System. This thesis shows the steps that have been done to achieve the several goals of this project, explaining, among others aspects, the process of integration with other existing modules as well as the way to associate the information about books with the metadata from CDS Invenio. You can also find a detailed explanation of the entire implementation process and testing. Finally, there are presented the conclusions of this project and ideas for future development.

  5. The cooperation of two libraries from the perspectives of user information needs and participation in a unified library and information system

    Directory of Open Access Journals (Sweden)

    Majda Steinbuch

    1997-01-01

    Full Text Available The author states that there is not enough cooperation among high school and university libraries in Slovenia, which can be seen both in searching through Iibrary science literature or studying library practice. On the example of the library of the II. High School in Maribor, the Maribor University Library and the whole library-information system of the Maribor University, the author points out that such cooperation is essential, from the perspective of user information needs, as well as education and training of the future active users of university libraries.This is even more important as both types of libraries pertain to the field of education.

  6. Recommender systems for location-based social networks

    CERN Document Server

    Symeonidis, Panagiotis; Manolopoulos, Yannis

    2014-01-01

    Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of t...

  7. Achieving Optimal Privacy in Trust-Aware Social Recommender Systems

    Science.gov (United States)

    Dokoohaki, Nima; Kaleli, Cihan; Polat, Huseyin; Matskin, Mihhail

    Collaborative filtering (CF) recommenders are subject to numerous shortcomings such as centralized processing, vulnerability to shilling attacks, and most important of all privacy. To overcome these obstacles, researchers proposed for utilization of interpersonal trust between users, to alleviate many of these crucial shortcomings. Till now, attention has been mainly paid to strong points about trust-aware recommenders such as alleviating profile sparsity or calculation cost efficiency, while least attention has been paid on investigating the notion of privacy surrounding the disclosure of individual ratings and most importantly protection of trust computation across social networks forming the backbone of these systems. To contribute to addressing problem of privacy in trust-aware recommenders, within this paper, first we introduce a framework for enabling privacy-preserving trust-aware recommendation generation. While trust mechanism aims at elevating recommender's accuracy, to preserve privacy, accuracy of the system needs to be decreased. Since within this context, privacy and accuracy are conflicting goals we show that a Pareto set can be found as an optimal setting for both privacy-preserving and trust-enabling mechanisms. We show that this Pareto set, when used as the configuration for measuring the accuracy of base collaborative filtering engine, yields an optimized tradeoff between conflicting goals of privacy and accuracy. We prove this concept along with applicability of our framework by experimenting with accuracy and privacy factors, and we show through experiment how such optimal set can be inferred.

  8. Implementing a Knowledge-Based Library Information System with Typed Horn Logic.

    Science.gov (United States)

    Ait-Kaci, Hassan; And Others

    1990-01-01

    Describes a prototype library expert system called BABEL which uses a new programing language, LOGIN, that combines the idea of attribute inheritance with logic programing. Use of hierarchical classification of library objects to build a knowledge base for a library information system is explained, and further research is suggested. (11…

  9. Efficient privacy-enhanced familiarity-based recommender system

    NARCIS (Netherlands)

    Jeckmans, Arjan; Peter, Andreas; Hartel, Pieter H.

    Recommender systems can help users to find interesting content, often based on similarity with other users. However, studies have shown that in some cases familiarity gives comparable results to similarity. Using familiarity has the added bonus of increasing privacy between users and utilizing a

  10. Understanding Cooperative Learning in Context-aware Recommender Systems

    DEFF Research Database (Denmark)

    Jiang, Na; Tan, Chee-Wee; Wang, Weiquan

    2017-01-01

    of users’ promotive interaction with CARSs, which in turn, dictates the performance of such recommender systems. Furthermore, we introduce scrutability features as design interventions that can be harnessed by developers to mitigate the impact of users’ promotive interaction on the performance of CARSs....

  11. Recommender Systems for Technology Enhanced Learning: Research Trends & Applications

    NARCIS (Netherlands)

    Manouselis, Nikos; Verbert, Katrien; Drachsler, Hendrik; Santos, Olga

    2014-01-01

    As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of individuals and organizations. Information retrieval is a pivotal activity in TEL and the deployment of recommender systems has attracted

  12. Hybrid attacks on model-based social recommender systems

    Science.gov (United States)

    Yu, Junliang; Gao, Min; Rong, Wenge; Li, Wentao; Xiong, Qingyu; Wen, Junhao

    2017-10-01

    With the growing popularity of the online social platform, the social network based approaches to recommendation emerged. However, because of the open nature of rating systems and social networks, the social recommender systems are susceptible to malicious attacks. In this paper, we present a certain novel attack, which inherits characteristics of the rating attack and the relation attack, and term it hybrid attack. Furtherly, we explore the impact of the hybrid attack on model-based social recommender systems in multiple aspects. The experimental results show that, the hybrid attack is more destructive than the rating attack in most cases. In addition, users and items with fewer ratings will be influenced more when attacked. Last but not the least, the findings suggest that spammers do not depend on the feedback links from normal users to become more powerful, the unilateral links can make the hybrid attack effective enough. Since unilateral links are much cheaper, the hybrid attack will be a great threat to model-based social recommender systems.

  13. Product Recommendation System Based on Personal Preference Model Using CAM

    Science.gov (United States)

    Murakami, Tomoko; Yoshioka, Nobukazu; Orihara, Ryohei; Furukawa, Koichi

    Product recommendation system is realized by applying business rules acquired by data maining techniques. Business rules such as demographical patterns of purchase, are able to cover the groups of users that have a tendency to purchase products, but it is difficult to recommend products adaptive to various personal preferences only by utilizing them. In addition to that, it is very costly to gather the large volume of high quality survey data, which is necessary for good recommendation based on personal preference model. A method collecting kansei information automatically without questionnaire survey is required. The constructing personal preference model from less favor data is also necessary, since it is costly for the user to input favor data. In this paper, we propose product recommendation system based on kansei information extracted by text mining and user's preference model constructed by Category-guided Adaptive Modeling, CAM for short. CAM is a feature construction method that can generate new features constructing the space where same labeled examples are close and different labeled examples are far away from some labeled examples. It is possible to construct personal preference model by CAM despite less information of likes and dislikes categories. In the system, retrieval agent gathers the products' specification and user agent manages preference model, user's likes and dislikes. Kansei information of the products is gained by applying text mining technique to the reputation documents about the products on the web site. We carry out some experimental studies to make sure that prefrence model obtained by our method performs effectively.

  14. Location-aware News Recommendation System with Using Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Mehdi Nejati

    2016-10-01

    Full Text Available with release of a huge amount of news on the Internet and the trend of users to Web-based news services.it is necessary to have a recommendation system. To grab attentions to news, news services use a number of criteria that called news values and user location is an important factor for it. In this paper, LONEF is proposed as a tow stage recommendation system. In first stage news are ranked by user’s locations and in second stage news are recommended by location Preferences, recency, Trustworthiness, groups priorities and popularity. To reduce ambiguity these properties is used tow Mamdani fuzzy interference and case-based decision systems. In Mamdani fuzzy interference system, it is tried to increase the system speed by optimizing selection of rules and membership functions and because of ambiguous feedback implementation, a decision making system is used to enable better simulation of user’s activities. Performance of our proposed approach is demonstrated in the experiments on different news groups.

  15. High-resolution AMLCD for the electronic library system

    Science.gov (United States)

    Martin, Russel A.; Middo, Kathy; Turner, William D.; Lewis, Alan; Thompson, Malcolm J.; Silverstein, Louis D.

    1994-06-01

    The Electronic Library System (ELS), is a proposed data resource for the cockpit which can provide the aircrew with a vast array of technical information on their aircraft and flight plan. This information includes, but is not limited to, approach plates, Jeppeson Charts, and aircraft technical manuals. Most of these data are appropriate for digitization at high resolution (300 spi). Xerox Corporation has developed a flat panel active matrix liquid crystal display, AMLCD, that is an excellent match to the ELS, due to its innovative and aggressive design.

  16. School Library Facilities Required for Successful Implementation of ...

    African Journals Online (AJOL)

    The paper discussed the objectives of the UBE and the library facilities. The roles of the school library play in the school system were identifiedm and the space requirements as well as functions to be performed in the school library were also discussed. Recommendations were made for the provision of effective library ...

  17. Applications of CCSDS recommendations to Integrated Ground Data Systems (IGDS)

    Science.gov (United States)

    Mizuta, Hiroshi; Martin, Daniel; Kato, Hatsuhiko; Ihara, Hirokazu

    1993-01-01

    This paper describes an application of the CCSDS Principle Network (CPH) service model to communications network elements of a postulated Integrated Ground Data System (IGDS). Functions are drawn principally from COSMICS (Cosmic Information and Control System), an integrated space control infrastructure, and the Earth Observing System Data and Information System (EOSDIS) Core System (ECS). From functional requirements, this paper derives a set of five communications network partitions which, taken together, support proposed space control infrastructures and data distribution systems. Our functional analysis indicates that the five network partitions derived in this paper should effectively interconnect the users, centers, processors, and other architectural elements of an IGDS. This paper illustrates a useful application of the CCSDS (Consultive Committee for Space Data Systems) Recommendations to ground data system development.

  18. A Proposed Business Intelligent Framework for Recommender Systems

    Directory of Open Access Journals (Sweden)

    Sitalakshmi Venkatraman

    2017-11-01

    Full Text Available In this Internet age, recommender systems (RS have become popular, offering new opportunities and challenges to the business world. With a continuous increase in global competition, e-businesses, information portals, social networks and more, websites are required to become more user-centric and rely on the presence and role of RS in assisting users in better decision making. However, with continuous changes in user interests and consumer behavior patterns that are influenced by easy access to vast information and social factors, raising the quality of recommendations has become a challenge for recommender systems. There is a pressing need for exploring hybrid models of the five main types of RS, namely collaborative, demographic, utility, content and knowledge based approaches along with advancements in Big Data (BD to become more context-aware of the technology and social changes and to behave intelligently. There is a gap in literature with a research focus in this direction. This paper takes a step to address this by exploring a new paradigm of applying business intelligence (BI concepts to RS for intelligently responding to user changes and business complexities. A BI based framework adopting a hybrid methodology for RS is proposed with a focus on enhancing the RS performance. Such a business intelligent recommender system (BIRS can adopt On-line Analytical Processing (OLAP tools and performance monitoring metrics using data mining techniques of BI to enhance its own learning, user profiling and predictive models for making a more useful set of personalised recommendations to its users. The application of the proposed framework to a B2C e-commerce case example is presented.

  19. Dynamic Combinatorial Libraries : From Exploring Molecular Recognition to Systems Chemistry

    NARCIS (Netherlands)

    Li, Jianwei; Nowak, Piotr; Otto, Sijbren

    2013-01-01

    Dynamic combinatorial chemistry (DCC) is a subset of combinatorial chemistry where the library members interconvert continuously by exchanging building blocks with each other. Dynamic combinatorial libraries (DCLs) are powerful tools for discovering the unexpected and have given rise to many

  20. Music recommendation system for biofied building considering multiple residents

    Science.gov (United States)

    Ito, Takahiro; Mita, Akira

    2012-04-01

    This research presents a music recommendation system based on multiple users' communication excitement and productivity. Evaluation is conducted on following two points. 1, Does songA recommended by the system improve the situation of dropped down communication excitement? 2, Does songB recommended by the system improve the situation of dropped down and productivity of collaborative work? The objective of this system is to recommend songs which shall improve the situation of dropped down communication excitement and productivity. Songs are characterized according to three aspects; familiarity, relaxing and BPM(Beat Per Minutes). Communication excitement is calculated from speech data obtained by an audio sensor. Productivity of collaborative brainstorming is manually calculated by the number of time-series key words during mind mapping. First experiment was music impression experiment to 118 students. Based on 1, average points of familiarity, relaxing and BPM 2, cronbach alpha factor, songA(high familiarity, high relaxing and high BPM song) and songB(high familiarity, high relaxing and low BPM) are selected. Exploratory experiment defined dropped down communication excitement and dropped down and productivity of collaborative work. Final experiment was conducted to 32 first meeting students divided into 8 groups. First 4 groups had mind mapping 1 while listening to songA, then had mind mapping 2 while listening songB. Following 4 groups had mind mapping 1 while listening to songB, then had mind mapping 2 while listening songA. Fianl experiment shows two results. Firstly, ratio of communication excitement between music listening section and whole brain storming is 1.27. Secondly, this system increases 69% of average productivity.

  1. Coarse cluster enhancing collaborative recommendation for social network systems

    Science.gov (United States)

    Zhao, Yao-Dong; Cai, Shi-Min; Tang, Ming; Shang, Min-Sheng

    2017-10-01

    Traditional collaborative filtering based recommender systems for social network systems bring very high demands on time complexity due to computing similarities of all pairs of users via resource usages and annotation actions, which thus strongly suppresses recommending speed. In this paper, to overcome this drawback, we propose a novel approach, namely coarse cluster that partitions similar users and associated items at a high speed to enhance user-based collaborative filtering, and then develop a fast collaborative user model for the social tagging systems. The experimental results based on Delicious dataset show that the proposed model is able to dramatically reduce the processing time cost greater than 90 % and relatively improve the accuracy in comparison with the ordinary user-based collaborative filtering, and is robust for the initial parameter. Most importantly, the proposed model can be conveniently extended by introducing more users' information (e.g., profiles) and practically applied for the large-scale social network systems to enhance the recommending speed without accuracy loss.

  2. The Systems Development Life Cycle as a Planning Methodology for Library Automation.

    Science.gov (United States)

    Cheatham, David

    1985-01-01

    Discussion of the systems development life cycle (SDLC) that supports operational and managerial planning of automation projects covers challenges of library automation, evolution and scope of SDLC, lack of dissemination of SDLC literature within library and information science community, and corrective measures to meet library automation demands.…

  3. Planning and Evaluating Library System Services in Illinois Using the CIPP Model.

    Science.gov (United States)

    Michael, Mary Ellen

    Under a grant from the Illinois State Library, a manual was prepared in 1973 as a reference guide for 18 library systems to use in their five-year planning and evaluation programs. The manual explained the Context, Input, Process, Product (CIPP) model. The 18 libraries used this model in various ways and reached different stages in the…

  4. Hacking Blackboard: Customizing Access to Library Resources through the Blackboard Course Management System

    Science.gov (United States)

    Kellam, Lynda M.; Cox, Richard; Winkler, Hannah

    2009-01-01

    Academic libraries have long been trying to gain access to users through their favorite online spaces, such as social networking sites. In this article a project of the University of North Carolina at Greensboro's University Libraries, which integrated library resources with the campus course management system, Blackboard, is detailed. The main…

  5. TogoDoc server/client system: smart recommendation and efficient management of life science literature.

    Science.gov (United States)

    Iwasaki, Wataru; Yamamoto, Yasunori; Takagi, Toshihisa

    2010-12-13

    In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration). The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the "tsunami" of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past). The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom.

  6. TogoDoc server/client system: smart recommendation and efficient management of life science literature.

    Directory of Open Access Journals (Sweden)

    Wataru Iwasaki

    Full Text Available In this paper, we describe a server/client literature management system specialized for the life science domain, the TogoDoc system (Togo, pronounced Toe-Go, is a romanization of a Japanese word for integration. The server and the client program cooperate closely over the Internet to provide life scientists with an effective literature recommendation service and efficient literature management. The content-based and personalized literature recommendation helps researchers to isolate interesting papers from the "tsunami" of literature, in which, on average, more than one biomedical paper is added to MEDLINE every minute. Because researchers these days need to cover updates of much wider topics to generate hypotheses using massive datasets obtained from public databases or omics experiments, the importance of having an effective literature recommendation service is rising. The automatic recommendation is based on the content of personal literature libraries of electronic PDF papers. The client program automatically analyzes these files, which are sometimes deeply buried in storage disks of researchers' personal computers. Just saving PDF papers to the designated folders makes the client program automatically analyze and retrieve metadata, rename file names, synchronize the data to the server, and receive the recommendation lists of newly published papers, thus accomplishing effortless literature management. In addition, the tag suggestion and associative search functions are provided for easy classification of and access to past papers (researchers who read many papers sometimes only vaguely remember or completely forget what they read in the past. The TogoDoc system is available for both Windows and Mac OS X and is free. The TogoDoc Client software is available at http://tdc.cb.k.u-tokyo.ac.jp/, and the TogoDoc server is available at https://docman.dbcls.jp/pubmed_recom.

  7. A Fast Recommender System for Cold User Using Categorized Items

    Directory of Open Access Journals (Sweden)

    Hamid Jazayeriy

    2018-01-01

    Full Text Available In recent years, recommender systems (RS provide a considerable progress to users. RSs reduce the cost of a user’s time in order to reach to desired results faster. The main issue of RSs is the presence of cold users which are less active and their preferences are more difficult to detect. The aim of this study is to provide a new way to improve recall and precision in recommender systems for cold users. According to the available categories of items, prioritization of the proposed items is improved and then presented to the cold user. The obtained results show that in addition to increased speed of processing, recall and precision have an acceptable improvement.

  8. Review of Recommender Systems Algorithms Utilized in Social Networks based e-Learning Systems & Neutrosophic System

    Directory of Open Access Journals (Sweden)

    A. A. Salama

    2015-03-01

    Full Text Available In this paper, we present a review of different recommender system algorithms that are utilized in social networks based e-Learning systems. Future research will include our proposed our e-Learning system that utilizes Recommender System and Social Network. Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache in [21, 22, 23] and Salama et al. in [24-66].The purpose of this paper is to utilize a neutrosophic set to analyze social networks data conducted through learning activities.

  9. Designing Emotion Awareness Interface for Group Recommender Systems

    OpenAIRE

    Yu Chen; Pearl Pu

    2014-01-01

    Group recommender systems help users to find items of interest collaboratively. Support for such collaboration has been mainly provided by interfaces that visualize membership awareness preference awareness and decision awareness. In this paper we are interested in investigating the roles of emotion awareness interfaces and how they may enable positive group influence. We first describe the design process behind an emotion annotation tool which we call CoFeel. We then show that it allows user...

  10. Tag and Neighbor based Recommender systems for Medical events

    DEFF Research Database (Denmark)

    Bayyapu, Karunakar Reddy; Dolog, Peter

    2010-01-01

    This paper presents an extension of a multifactor recommendation approach based on user tagging with term neighbours. Neighbours of words in tag vectors and documents provide for hitting larger set of documents and not only those matching with direct tag vectors or content of the documents. Tag...... in the situations where the quality of tags is lower. We discuss the approach on the examples from the existing Medworm system to indicate the usefulness of the approach....

  11. Enabling Open Research Data Discovery through a Recommender System

    Science.gov (United States)

    Devaraju, Anusuriya; Jayasinghe, Gaya; Klump, Jens; Hogan, Dominic

    2017-04-01

    Government agencies, universities, research and nonprofit organizations are increasingly publishing their datasets to promote transparency, induce new research and generate economic value through the development of new products or services. The datasets may be downloaded from various data portals (data repositories) which are general or domain-specific. The Registry of Research Data Repository (re3data.org) lists more than 2500 such data repositories from around the globe. Data portals allow keyword search and faceted navigation to facilitate discovery of research datasets. However, the volume and variety of datasets have made finding relevant datasets more difficult. Common dataset search mechanisms may be time consuming, may produce irrelevant results and are primarily suitable for users who are familiar with the general structure and contents of the respective database. Therefore, we need new approaches to support research data discovery. Recommender systems offer new possibilities for users to find datasets that are relevant to their research interests. This study presents a recommender system developed for the CSIRO Data Access Portal (DAP, http://data.csiro.au). The datasets hosted on the portal are diverse, published by researchers from 13 business units in the organisation. The goal of the study is not to replace the current search mechanisms on the data portal, but rather to extend the data discovery through an exploratory search, in this case by building a recommender system. We adopted a hybrid recommendation approach, comprising content-based filtering and item-item collaborative filtering. The content-based filtering computes similarities between datasets based on metadata such as title, keywords, descriptions, fields of research, location, contributors, etc. The collaborative filtering utilizes user search behaviour and download patterns derived from the server logs to determine similar datasets. Similarities above are then combined with different

  12. Modeling Temporal Bias of Uplift Events in Recommender Systems

    KAUST Repository

    Altaf, Basmah

    2013-05-08

    Today, commercial industry spends huge amount of resources in advertisement campaigns, new marketing strategies, and promotional deals to introduce their product to public and attract a large number of customers. These massive investments by a company are worthwhile because marketing tactics greatly influence the consumer behavior. Alternatively, these advertising campaigns have a discernible impact on recommendation systems which tend to promote popular items by ranking them at the top, resulting in biased and unfair decision making and loss of customers’ trust. The biasing impact of popularity of items on recommendations, however, is not fixed, and varies with time. Therefore, it is important to build a bias-aware recommendation system that can rank or predict items based on their true merit at given time frame. This thesis proposes a framework that can model the temporal bias of individual items defined by their characteristic contents, and provides a simple process for bias correction. Bias correction is done either by cleaning the bias from historical training data that is used for building predictive model, or by ignoring the estimated bias from the predictions of a standard predictor. Evaluated on two real world datasets, NetFlix and MovieLens, our framework is shown to be able to estimate and remove the bias as a result of adopted marketing techniques from the predicted popularity of items at a given time.

  13. Recommendations of the workshop on advanced geothermal drilling systems

    Energy Technology Data Exchange (ETDEWEB)

    Glowka, D.A.

    1997-12-01

    At the request of the U.S. Department of Energy, Office of Geothermal Technologies, Sandia National Laboratories convened a group of drilling experts in Berkeley, CA, on April 15-16, 1997, to discuss advanced geothermal drilling systems. The objective of the workshop was to develop one or more conceptual designs for an advanced geothermal drilling system that meets all of the criteria necessary to drill a model geothermal well. The drilling process was divided into ten essential functions. Each function was examined, and discussions were held on the conventional methods used to accomplish each function and the problems commonly encountered. Alternative methods of performing each function were then listed and evaluated by the group. Alternative methods considered feasible or at least worth further investigation were identified, while methods considered impractical or not potentially cost-saving were eliminated from further discussion. This report summarizes the recommendations of the workshop participants. For each of the ten functions, the conventional methods, common problems, and recommended alternative technologies and methods are listed. Each recommended alternative is discussed, and a description is given of the process by which this information will be used by the U.S. DOE to develop an advanced geothermal drilling research program.

  14. Combination of evidence in recommendation systems characterized by distance functions

    Energy Technology Data Exchange (ETDEWEB)

    Rocha, L. M. (Luis Mateus)

    2002-01-01

    Recommendation systems for different Document Networks (DN) such as the World Wide Web (WWW), Digitnl Libarries, or Scientific Databases, often make use of distance functions extracted from relationships among documents and between documents and semantic tags. For instance, documents In the WWW are related via a hyperlink network, while documents in bibliographic databases are related by citation and collaboration networks.Furthermore, documents can be related to semantic tags such as keywords used to describe their content, The distance functions computed from these relations establish associative networks among items of the DN, and allow recommendation systems to identify relevant associations for iudividoal users. The process of recommendation can be improved by integrating associative data from different sources. Thus we are presented with a problem of combining evidence (about assochaons between items) from different sonrces characterized by distance functions. In this paper we summarize our work on (1) inferring associations from semi-metric distance functions and (2) combining evidence from different (distance) associative DN.

  15. The power of ground user in recommender systems.

    Science.gov (United States)

    Zhou, Yanbo; Lü, Linyuan; Liu, Weiping; Zhang, Jianlin

    2013-01-01

    Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD) and heat conduction (HC) processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC), it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC) by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity.

  16. The power of ground user in recommender systems.

    Directory of Open Access Journals (Sweden)

    Yanbo Zhou

    Full Text Available Accuracy and diversity are two important aspects to evaluate the performance of recommender systems. Two diffusion-based methods were proposed respectively inspired by the mass diffusion (MD and heat conduction (HC processes on networks. It has been pointed out that MD has high recommendation accuracy yet low diversity, while HC succeeds in seeking out novel or niche items but with relatively low accuracy. The accuracy-diversity dilemma is a long-term challenge in recommender systems. To solve this problem, we introduced a background temperature by adding a ground user who connects to all the items in the user-item bipartite network. Performing the HC algorithm on the network with ground user (GHC, it showed that the accuracy can be largely improved while keeping the diversity. Furthermore, we proposed a weighted form of the ground user (WGHC by assigning some weights to the newly added links between the ground user and the items. By turning the weight as a free parameter, an optimal value subject to the highest accuracy is obtained. Experimental results on three benchmark data sets showed that the WGHC outperforms the state-of-the-art method MD for both accuracy and diversity.

  17. Description of Transmutation Library for Fuel Cycle System Analyses

    Energy Technology Data Exchange (ETDEWEB)

    Steven J. Piet; Samuel E. Bays; Edward A. Hoffman

    2010-08-01

    This report documents the Transmutation Library that is used in Fuel Cycle System Analyses. This version replaces the 2008 version.[Piet2008] The Transmutation Library has the following objectives: • Assemble past and future transmutation cases for system analyses. • For each case, assemble descriptive information such as where the case was documented, the purpose of the calculation, the codes used, source of feed material, transmutation parameters, and the name of files that contain raw or source data. • Group chemical elements so that masses in separation and waste processes as calculated in dynamic simulations or spreadsheets reflect current thinking of those processes. For example, the CsSr waste form option actually includes all Group 1A and 2A elements. • Provide mass fractions at input (charge) and output (discharge) for each case. • Eliminate the need for either “fission product other” or “actinide other” while conserving mass. Assessments of waste and separation cannot use “fission product other” or “actinide other” as their chemical behavior is undefined. • Catalog other isotope-specific information in one place, e.g., heat and dose conversion factors for individual isotopes. • Describe the correlations for how input and output compositions change as a function of UOX burnup (for LWR UOX fuel) or fast reactor (FR) transuranic (TRU) conversion ratio (CR) for either FR-metal or FR-oxide. This document therefore includes the following sections: • Explanation of the data set information, i.e., the data that describes each case. In no case are all of the data presented in the Library included in previous documents. In assembling the Library, we return to raw data files to extract the case and isotopic data, into the specified format. • Explanation of which isotopes and elements are tracked. For example, the transition metals are tracked via the following: two Zr isotopes, Zr-other, Tc99, Tc-other, two Mo-Ru-Rh-Pd isotopes, Mo

  18. Collaborative User Network Embedding for Social Recommender Systems

    KAUST Repository

    Zhang, Chuxu

    2017-06-09

    To address the issue of data sparsity and cold-start in recommender system, social information (e.g., user-user trust links) has been introduced to complement rating data for improving the performances of traditional model-based recommendation techniques such as matrix factorization (MF) and Bayesian personalized ranking (BPR). Although effective, the utilization of the explicit user-user relationships extracted directly from such social information has three main limitations. First, it is difficult to obtain explicit and reliable social links. Only a small portion of users indicate explicitly their trusted friends in recommender systems. Second, the “cold-start” users are “cold” not only on rating but also on socializing. There is no significant amount of explicit social information that can be useful for “cold-start” users. Third, an active user can be socially connected with others who have different taste/preference. Direct usage of explicit social links may mislead recommendation. To address these issues, we propose to extract implicit and reliable social information from user feedbacks and identify top-k semantic friends for each user. We incorporate the top-k semantic friends information into MF and BPR frameworks to solve the problems of ratings prediction and items ranking, respectively. The experimental results on three real-world datasets show that our proposed approaches achieve better results than the state-of-the-art MF with explicit social links (with 3.0% improvement on RMSE), and social BPR (with 9.1% improvement on AUC).

  19. I should not recommend it to you even if you will like it: the ethics of recommender systems

    Science.gov (United States)

    Tang, Tiffany Ya; Winoto, Pinata

    2016-01-01

    In this paper, we extend the current research in the recommendation system community by showing that users did attach ethical consideration to items. In an experiment (N = 111) that manipulated several moral factors regarding the potentially harmful content in movies, books, and games, users were asked to evaluate the appropriateness of recommending these items to teenagers and adult couples. Results agreed with previous studies in that gender plays a key role in making moral judgment, especially regarding the ethical appropriateness of an item. The pilot study further identifies degrees of aversion regarding the appeal of these elements in media for ethical recommendations. Based on the study, we propose a user-initiated ethical recommender system to help users pick up morally appropriate items during the post-recommendation process. We believe that the ethical appropriateness of items perceived by end users could predict the trust and credibility of the system.

  20. Study on interface between nuclear material accounting system and national nuclear forensic library

    Energy Technology Data Exchange (ETDEWEB)

    Jeong, Yonhong; Han, Jae-Jun; Chang, Sunyoung; Shim, Hye-Won; Ahn, Seungho [Korea Institute of Nuclear Non-proliferation and Control, Daejeon (Korea, Republic of)

    2016-10-15

    The implementation of nuclear forensics requires physical, chemical and radiological characteristics with transport history to unravel properties of seized nuclear materials. For timely assessment provided in the ITWG guideline, development of national response system (e.g., national nuclear forensic library) is strongly recommended. Nuclear material accounting is essential to obtain basic data in the nuclear forensic implementation phase from the perspective of nuclear non-proliferation related to the IAEA Safeguards and nuclear security. In this study, the nuclear material accounting reports were chosen due to its well-established procedure, and reviewed how to efficiently utilize the existing material accounting system to the nuclear forensic implementation phase In conclusion, limits and improvements in implementing the nuclear forensics were discussed. This study reviewed how to utilize the existing material accounting system for implementing nuclear forensics. Concerning item counting facility, nuclear material properties can be obtained based on nuclear material accounting information. Nuclear fuel assembly data being reported for the IAEA Safeguards can be utilized as unique identifier within the back-end fuel cycle. Depending upon the compulsory accountability report period, there exist time gaps. If national capabilities ensure that history information within the front-end nuclear fuel cycle is traceable particularly for the bulk handling facility, the entire cycle of national nuclear fuel would be managed in the framework of developing a national nuclear forensic library.

  1. Gulf of Mexico Helicopter Offshore System Technologies Recommended Development Path

    Science.gov (United States)

    Koenke, Edmund J.; Williams, Larry; Calafa, Caesar

    1999-01-01

    The National Aeronautics and Space Administration (NASA) Advanced Air Transportation Technologies (AATT) project in cooperation with the Department of Transportation (DOT) Volpe National Transportation Systems Center (VNTSC) contracted with the System Resources Corporation (SRC) for the evaluation of the existing environment and the identification of user and service provider needs in the Gulf of Mexico low-altitude Offshore Sector. The results of this contractor activity are reported in the Gulf of Mexico Helicopter Offshore System Technologies Engineering Needs Assessment. A recommended system design and transition strategy was then developed to satisfy the identified needs within the constraints of the environment. This work, also performed under contract to NASA, is the subject of this report.

  2. The Development of E-Library at Delta State University Library, Abraka

    African Journals Online (AJOL)

    Training of staff suitable for library IT operation in the University Library was briefly discussed. Problems of information communication technology in the University Library includes: funding, lack of adequate infrastructure, external assistance and systems maintenance were enumerated. Recommendations for improvement ...

  3. A manual of recommended practices for hydrogen energy systems

    Energy Technology Data Exchange (ETDEWEB)

    Hoagland, W.; Leach, S. [W. Hoagland and Associates, Boulder, CO (United States)

    1997-12-31

    Technologies for the production, distribution, and use of hydrogen are rapidly maturing and the number and size of demonstration programs designed to showcase emerging hydrogen energy systems is expanding. The success of these programs is key to hydrogen commercialization. Currently there is no comprehensive set of widely-accepted codes or standards covering the installation and operation of hydrogen energy systems. This lack of codes or standards is a major obstacle to future hydrogen demonstrations in obtaining the requisite licenses, permits, insurance, and public acceptance. In a project begun in late 1996 to address this problem, W. Hoagland and Associates has been developing a Manual of Recommended Practices for Hydrogen Systems intended to serve as an interim document for the design and operation of hydrogen demonstration projects. It will also serve as a starting point for some of the needed standard-setting processes. The Manual will include design guidelines for hydrogen procedures, case studies of experience at existing hydrogen demonstration projects, a bibliography of information sources, and a compilation of suppliers of hydrogen equipment and hardware. Following extensive professional review, final publication will occur later in 1997. The primary goal is to develop a draft document in the shortest possible time frame. To accomplish this, the input and guidance of technology developers, industrial organizations, government R and D and regulatory organizations and others will be sought to define the organization and content of the draft Manual, gather and evaluate available information, develop a draft document, coordinate reviews and revisions, and develop recommendations for publication, distribution, and update of the final document. The workshop, Development of a Manual of Recommended Practices for Hydrogen Energy Systems, conducted on March 11, 1997 in Alexandria, Virginia, was a first step.

  4. For the Good of All: A Case Study of Collaboration between a University Library and a Public Library System

    Science.gov (United States)

    Liebst, Anne; Feinmark, David

    2013-01-01

    In June 2003, the University of Arkansas at Little Rock (UALR) and the Central Arkansas Library System (CALS) embarked on a partnership to combine their collections documenting Arkansas history and politics. There is much to be gained by examining relationships where the partners bring special strengths to the table. This paper outlines the…

  5. Performance Improvement with Web Based Database on Library Information System of Smk Yadika 5

    Directory of Open Access Journals (Sweden)

    Pualam Dipa Nusantara

    2015-12-01

    Full Text Available The difficulty in managing the data of books collection in the library is a problem that is often faced by the librarian that effect the quality of service. Arrangement and recording a collection of books in the file system of separate applications Word and Excel, as well as transaction handling borrowing and returning books, therehas been no integrated records. Library system can manage the book collection. This system can reduce the problems often experienced by library staff when serving students in borrowing books. There so frequent difficulty in managing the books that still in borrowed state. This system will also record a collection of late fees or lost library conducted by students (borrowers. The conclusion of this study is library performance can be better with the library system using web database.

  6. Improving electronic customers' profile in recommender systems using data mining techniques

    Directory of Open Access Journals (Sweden)

    Mohammad Julashokri

    2011-10-01

    Full Text Available Recommender systems are tools for realization one to one marketing. Recommender systems are systems, which attract, retain, and develop customers. Recommender systems use several ways to make recommendations. Two ways are using more than the others: collaborative filtering and content-based filtering. In this study, a recommender system model based on collaborative filtering has proposed. Proposed model was endeavored to improve the customer profile in collaborative systems to enhance the recommender system efficiency. This improvement was done using time context and group preferences. Experimental results show that the proposed model has a better recommendation performance than existing models.

  7. Educational Resources Recommendation System for a heterogeneous Student Group

    Directory of Open Access Journals (Sweden)

    Paula Andrea RODRÍGUEZ MARÍN

    2016-12-01

    Full Text Available In a face-class, where the student group is heterogeneous, it is necessary to select the most appropriate educational resources that support learning for all. In this sense, multi-agent system (MAS can be used to simulate the features of the students in the group, including their learning style, in order to help the professor find the best resources for your class. In this paper, we present MAS to educational resources recommendation for group students, simulating their profiles and selecting resources that best fit. Obtained promising results show that proposed MAS is able to delivered educational resources for a student group.

  8. The implementation of library automation in the Slovene National and university library and other libraries: development and setting-up of the referral service system in former Yugoslavia

    Directory of Open Access Journals (Sweden)

    Stanislav Bahor

    2006-01-01

    Full Text Available The article describes the development and co-ordination of the design and implementation of library automation into the information and documentation activities in former Yugoslavia from 1974 to the middle of 1981. During this period, a state-wide uniform referral system was planned to be created in accordance with the international guidelines. In agreement with the Yugoslav scientific policy guidelines, the operational information system for the scientific information system should be based on specialized and referral centres, in which the modern computer technology should be implemented. In former Yugoslavia, the self-managing agreement on referral work was adopted, and in many cases, holders of the referral work became national libraries in the republics and autonomous provinces, because they collected the creative achievements of the complete nation, and they provided the most favourable conditions for the best exploitation of library collections and other information resources. Closer co-operation between the institutions, which operated in the field of information activities at the state level, also encouraged the unification of standards for a more rational work distribution and provision of exchange and accessibility of work results. An analysis of the situation and a development programme for the scientific information system were to be carried out in former Yugoslavia, however, a complicated system of reaching the agreement on the measures to be taken and difficult economic situation of the state did not enable a quick progress in this field.

  9. Towards an Explanation Generation System for Robots: Analysis and Recommendations

    Directory of Open Access Journals (Sweden)

    Ben Meadows

    2016-10-01

    Full Text Available A fundamental challenge in robotics is to reason with incomplete domain knowledge to explain unexpected observations and partial descriptions extracted from sensor observations. Existing explanation generation systems draw on ideas that can be mapped to a multidimensional space of system characteristics, defined by distinctions, such as how they represent knowledge and if and how they reason with heuristic guidance. Instances in this multidimensional space corresponding to existing systems do not support all of the desired explanation generation capabilities for robots. We seek to address this limitation by thoroughly understanding the range of explanation generation capabilities and the interplay between the distinctions that characterize them. Towards this objective, this paper first specifies three fundamental distinctions that can be used to characterize many existing explanation generation systems. We explore and understand the effects of these distinctions by comparing the capabilities of two systems that differ substantially along these axes, using execution scenarios involving a robot waiter assisting in seating people and delivering orders in a restaurant. The second part of the paper uses this study to argue that the desired explanation generation capabilities corresponding to these three distinctions can mostly be achieved by exploiting the complementary strengths of the two systems that were explored. This is followed by a discussion of the capabilities related to other major distinctions to provide detailed recommendations for developing an explanation generation system for robots.

  10. A Survey on Linked Data and the Social Web as facilitators for TEL recommender systems

    NARCIS (Netherlands)

    Dietze, Stefan; Drachsler, Hendrik; Daniela, Giordano

    2014-01-01

    Personalisation, adaptation and recommendation are central features of TEL environments. In this context, information retrieval techniques are applied as part of TEL recommender systems to filter and recommend learning resources or peer learners according to user preferences and requirements.

  11. A Probability-Based Hybrid User Model for Recommendation System

    Directory of Open Access Journals (Sweden)

    Jia Hao

    2016-01-01

    Full Text Available With the rapid development of information communication technology, the available information or knowledge is exponentially increased, and this causes the well-known information overload phenomenon. This problem is more serious in product design corporations because over half of the valuable design time is consumed in knowledge acquisition, which highly extends the design cycle and weakens the competitiveness. Therefore, the recommender systems become very important in the domain of product domain. This research presents a probability-based hybrid user model, which is a combination of collaborative filtering and content-based filtering. This hybrid model utilizes user ratings and item topics or classes, which are available in the domain of product design, to predict the knowledge requirement. The comprehensive analysis of the experimental results shows that the proposed method gains better performance in most of the parameter settings. This work contributes a probability-based method to the community for implement recommender system when only user ratings and item topics are available.

  12. Integration of recommender system for Web cache management

    Directory of Open Access Journals (Sweden)

    Pattarasinee Bhattarakosol

    2013-06-01

    Full Text Available Web caching is widely recognised as an effective technique that improves the quality of service over the Internet, such as reduction of user latency and network bandwidth usage. However, this method has limitations due to hardware and management policies of caches. The Behaviour-Based Cache Management Model (BBCMM is therefore proposed as an alternative caching architecture model with the integration of a recommender system. This architecture is a cache grouping mechanism where browsing characteristics are applied to improve the performance of the Internet services. The results indicate that the byte hit rate of the new architecture increases by more than 18% and the delay measurement drops by more than 56%. In addition, a theoretical comparison between the proposed model and the traditional cooperative caching models shows a performance improvement of the proposed model in the cache system.

  13. Implementation of a Recommender System using Collaborative Filtering

    Directory of Open Access Journals (Sweden)

    Andrei-Cristian Prodan

    2010-12-01

    Full Text Available Nowadays, consumers have a lot of choices. Electronic retailers offer a great variety of products. Because of this, there is a need for Recommender Systems. These systems aim to solve the problem of matching consumers with the most appealing products for them. They do this by analyzing either the products information details (Content Based methods or users social behavior (Collaborative Filtering. This paper describes the Collaborative Filtering technique in more detail. It then presents one of the best methods for CF: the Matrix Factorization technique. Next, it presents two algorithms used for matrix factorization. Then, the paper describes the implementation details of a framework created by us, called Rho, that uses Collaborative Filtering. In the end, we present some results obtained after experimenting with this framework.

  14. Dynamics of movie competition and popularity spreading in recommender systems.

    Science.gov (United States)

    Yeung, C H; Cimini, G; Jin, C-H

    2011-01-01

    We introduce a simple model to study movie competition in recommender systems. Movies of heterogeneous quality compete against each other through viewers' reviews and generate interesting dynamics at the box office. By assuming mean-field interactions between the competing movies, we show that the runaway effect of popularity spreading is triggered by defeating the average review score, leading to box-office hits: Popularity rises and peaks before fade-out. The average review score thus characterizes the critical movie quality necessary for transition from box-office bombs to blockbusters. The major factors affecting the critical review score are examined. By iterating the mean-field dynamical equations, we obtain qualitative agreements with simulations and real systems in the dynamical box-office forms, revealing the significant role of competition in understanding box-office dynamics.

  15. Method and system to discover and recommend interesting documents

    Energy Technology Data Exchange (ETDEWEB)

    Potok, Thomas Eugene; Steed, Chad Allen; Patton, Robert Matthew

    2017-01-31

    Disclosed are several examples of systems that can read millions of news feeds per day about topics (e.g., your customers, competitors, markets, and partners), and provide a small set of the most relevant items to read to keep current with the overwhelming amount of information currently available. Topics of interest can be chosen by the user of the system for use as seeds. The seeds can be vectorized and compared with the target documents to determine their similarity. The similarities can be sorted from highest to lowest so that the most similar seed and target documents are at the top of the list. This output can be produced in XML format so that an RSS Reader can format the XML. This allows for easy Internet access to these recommendations.

  16. Design of a Public Library Management Information System: A Status Report.

    Science.gov (United States)

    McClure, Charles R.; And Others

    1989-01-01

    Describes the development of a microcomputer based management information system (MIS) for the DeKalb County Public Library. Data collection activities that determined system requirements and the evolution of a database design from those requirements are discussed, as well as plans to develop a generic public library MIS based on this model.…

  17. System Scope for Library Automation and Generalized Information Storage and Retrieval at Stanford University.

    Science.gov (United States)

    Cady, Glee; And Others

    The scope of a manual-automated system serving the 40 libraries and the teaching and research community of Stanford University is defined. Also defined are the library operations to be supported and the bibliographic information storage and retrieval capabilities to be provided in the system. Two major projects have been working jointly on library…

  18. Using customer relationship management systems at university libraries: A comparative study between Saudi Arabia and Egypt

    National Research Council Canada - National Science Library

    Fouad, Nehal; Al-Goblan, Najah

    2017-01-01

    .... This happens through the introduction of the customer relationship management concept to university libraries, the implementation mechanisms of these systems, and the level of the libraries’ tendency to adopt them. In addition, the current study surveys the obstacles that confront customer relationship management systems usage in university libraries in Saudi Arabia and Egypt.

  19. An international survey and recommendations for modern hydrokinetic systems

    Science.gov (United States)

    Valyrakis, Manousos; Basnet, Bipin; Dunsmore, Ian

    2017-04-01

    This study presents the results of a survey on some of the advantages of the novel and uniquehydrokinetic energy generation systems over other technologies available today. Recently, a comprehensive assessment study for the application of internationally leading hydrokinetic technologies in water engineering has been conducted. The study was carried with the collaboration of the School of Engineering, University of Glasgow and Scottish Water Horizons Ltd. The assessment involved the information collection, critical analysis of various features and financial viability analysis of various hydrokinetic systems available at this time. The outcomes of the study are summarized below: - The preliminary assessment of the hydrokinetic system and their application were carried out. The technologies were divided into different categories as per their core theory, scope of application as well as positive and negatives effects of their application. - A variety of criteria were used to assess the technical, economical and ecological potential from the application of hydrokinetic systems. - A number of companies representing a wide range of technologies available worldwide were ranked considering the performance of these against the above criteria. - Only a couple of the companies could satisfy the selection condition to be adopted into select sites of low flow and low pressure head. - A more detailed assessment for specific sites and further testing of these technologies is recommended to further assess the advantages and optimal performance of the selected technologies. A preliminary evaluation of the best performing systems demonstrates its effectiveness, particularly over other existing hydrokinetic technologies, when ecology of the open water surface system is considered. Specifically it will be of interest to use the selected technology in combination with a fish passage, as compared with other technologies this system has a minimal amount of fast moving components.

  20. Robots in the Library: Automated Storage and Retrieval Systems.

    Science.gov (United States)

    Kountz, John

    1987-01-01

    Describes automated storage and retrieval (AS/R) techniques and discusses benefits, conservation considerations, and costs of the AS/R approach to the storage of library books. Thirteen annotated references are listed. (MES)

  1. Dynamic combinatorial libraries : new opportunities in systems chemistry

    NARCIS (Netherlands)

    Hunt, Rosemary A. R.; Otto, Sijbren; Hunt, Rosemary A.R.

    2011-01-01

    Combinatorial chemistry is a tool for selecting molecules with special properties. Dynamic combinatorial chemistry started off aiming to be just that. However, unlike ordinary combinatorial chemistry, the interconnectedness of dynamic libraries gives them an extra dimension. An understanding of

  2. SYSTEM OF INCREASE OF LIBRARY WORKERS INFORMATIVE LITERACY

    Directory of Open Access Journals (Sweden)

    Svitlana M. Ivanova

    2011-02-01

    Full Text Available The article is devoted to the problems of modern information and communication technologies use in professional activity of library workers. The methods of increase of librarian informative literacy are offered. The special course aiming to prepare the skilled specialists who can decide innovative tasks on introduction, management and work with electronic resources is described. The tasks which will help listeners to enter in a theory and practice of electronic resources use in a modern library are decided in the course, such as: to form skills for working in electronic libraries; to teach the methods of modernization of informative librarian services on the base of technologies and resources of electronic libraries, freely Eprints software use.

  3. The Houston Academy of Medicine--Texas Medical Center Library management information system.

    Science.gov (United States)

    Camille, D; Chadha, S; Lyders, R A

    1993-10-01

    A management information system (MIS) provides a means for collecting, reporting, and analyzing data from all segments of an organization. Such systems are common in business but rare in libraries. The Houston Academy of Medicine-Texas Medical Center Library developed an MIS that operates on a system of networked IBM PCs and Paradox, a commercial database software package. The data collected in the system include monthly reports, client profile information, and data collected at the time of service requests. The MIS assists with enforcement of library policies, ensures that correct information is recorded, and provides reports for library managers. It also can be used to help answer a variety of ad hoc questions. Future plans call for the development of an MIS that could be adapted to other libraries' needs, and a decision-support interface that would facilitate access to the data contained in the MIS databases.

  4. [Monitoring system on prison health: feasibility and recommendations].

    Science.gov (United States)

    Develay, Aude-Emmanuelle; Verdot, Charlotte; Grémy, Isabelle

    2015-01-01

    This article presents the results of two studies designed to define the feasibility and framework of the future prison health monitoring system in France. The objective of the first study was to obtain the points of view of professionals involved in prison health and the second study was designed to assess the feasibility of using prisoner's medical files for epidemiological purposes. The point of view of various professionals was collected by questionnaire sent to 43 randomly selected prison physicians and by 22 semi-directive interviews. The feasibility study was based on analysis of the medical files of 330 randomly selected prisoners in eleven prisons chosen in order to reflect the diversity of correctional settings and prison populations. Additional interviews were conducted with the medical staff of these prison facilities. There is a consensus on the need to monitor prison health, but there are contrasting views on data collection methods (surveys or routinely collected data]. The feasibility study also showed that the implementation of a prison health monitoring system based on routinely collected data from prisoner's medical records was not feasible at the present time in France. In the light of these findings, it is recommended to initially develop a monitoring system based on regular nationwide surveys, while pursuing computerization and standardization of health data in prison.

  5. OpenIPSL: Open-Instance Power System Library - Update 1.5 to "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations"

    Science.gov (United States)

    Baudette, Maxime; Castro, Marcelo; Rabuzin, Tin; Lavenius, Jan; Bogodorova, Tetiana; Vanfretti, Luigi

    2018-01-01

    This paper presents the latest improvements implemented in the Open-Instance Power System Library (OpenIPSL). The OpenIPSL is a fork from the original iTesla Power Systems Library (iPSL) by some of the original developers of the iPSL. This fork's motivation comes from the will of the authors to further develop the library with additional features tailored to research and teaching purposes. The enhancements include improvements to existing models, the addition of a new package of three phase models, and the implementation of automated tests through continuous integration.

  6. LibraryH3lp: A New Flexible Chat Reference System

    Directory of Open Access Journals (Sweden)

    Pam Sessoms

    2008-09-01

    Full Text Available LibraryH3lp is an integrated IM and web chat system designed specifically for Virtual Reference services in libraries. The software was designed for, and is currently used by, a night-time chat reference collaboraton between several large academic libraries. LibraryH3lp is designed for the workflow of chat reference, supporting multiple simultaneous operators and routing to queues of operators in a particular service area. It also supports web page embeddable chat 'widgets', as well as simultaneous gateways to multiple IM protocols. This article discusses the motivation for the development of the software, and provides an overview of LibraryH3lp's features and technical architecture. Parts of LibraryH3lp are available as open source. The complete application is available as a low-cost hosted service, and will eventually be available to be licensed for local hosting.

  7. A Unified Modeling Language-Based Design And Application For A Library Management Information System

    National Research Council Canada - National Science Library

    Jianhu Zheng; Yunqing Feng; Yun Zhao

    2014-01-01

    .... Thirdly, a demand analysis mode of the management system is built with the help of a case diagram and an analysis diagram after analysis of a simple library management system, using UML modeling mechanism...

  8. Strategies of detecting Profile-injection attacks in E-Commerce Recommender System: A survey Partha

    National Research Council Canada - National Science Library

    Sarathi Chakraborty; Dr. Sunil Karforma

    2015-01-01

    E-commerce recommender systems are vulnerable to different types of shilling attack where the attacker influences the recommendation procedure in favor of him by inserting fake user-profiles into the system...

  9. Consumers' intention to use health recommendation systems to receive personalized nutrition advice

    NARCIS (Netherlands)

    S. Wendel (Sonja); B.G.C. Dellaert (Benedict); A. Ronteltap (Amber); H.C.M. van Trijp (Hans)

    2013-01-01

    textabstractBackground: Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We

  10. Consumers’ intention to use health recommendation systems to receive personalized nutrition advice

    NARCIS (Netherlands)

    S. Wendel (Sonja); B.G.C. Dellaert (Benedict); A. Ronteltap (Amber); H.C.M. van Trijp (Hans)

    2013-01-01

    markdownabstract__Abstract__ __Background:__ Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide

  11. Consumers’ intention to use health recommendation systems to receive personalized nutrition advice

    NARCIS (Netherlands)

    Wendel, S.; Dellaert, B.G.C.; Ronteltap, A.; Trijp, van J.C.M.

    2013-01-01

    Background: Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine

  12. 75 FR 64389 - Proposed Recommendation to the Social Security Administration for Occupational Information System...

    Science.gov (United States)

    2010-10-19

    ... ADMINISTRATION Proposed Recommendation to the Social Security Administration for Occupational Information System... Occupational Information Development Advisory Panel (Panel) to provide independent advice and recommendations on plans and activities to create an occupational information system tailored specifically for our...

  13. A Weight-Aware Recommendation Algorithm for Mobile Multimedia Systems

    Directory of Open Access Journals (Sweden)

    Pedro M. P. Rosa

    2013-01-01

    Full Text Available In the last years, information flood is becoming a common reality, and the general user, hit by thousands of possible interesting information, has great difficulties identifying the best ones, that can guide him in his/her daily choices, like concerts, restaurants, sport gatherings, or culture events. The current growth of mobile smartphones and tablets with embedded GPS receiver, Internet access, camera, and accelerometer offer new opportunities to mobile ubiquitous multimedia applications that helps gathering the best information out of an always growing list of possibly good ones. This paper presents a mobile recommendation system for events, based on few weighted context-awareness data-fusion algorithms to combine several multimedia sources. A demonstrative deployment were utilized relevance like location data, user habits and user sharing statistics, and data-fusion algorithms like the classical CombSUM and CombMNZ, simple, and weighted. Still, the developed methodology is generic, and can be extended to other relevance, both direct (background noise volume and indirect (local temperature extrapolated by GPS coordinates in a Web service and other data-fusion techniques. To experiment, demonstrate, and evaluate the performance of different algorithms, the proposed system was created and deployed into a working mobile application providing real time awareness-based information of local events and news.

  14. Linking Library Automation Systems in the Internet: Functional Requirements, Planning, and Policy Issues.

    Science.gov (United States)

    Lynch, Clifford A.

    1989-01-01

    This guide to functions to consider in selecting an academic library automation system to operate in a networked environment covers (1) the current academic networking environment; (2) library automation hardware and software platforms; (3) user interface requirements for public access; and (4) security and authentication. (10 references) (MES)

  15. Making the Library Management Systems Acquisition: Achieving Resolution of a Tough Decision.

    Science.gov (United States)

    Bell, Steven J.; Cronin-Kardon, Cynthia

    1998-01-01

    Offers exploratory research on the automation decision process for library administrators who are considering a new library management system (LMS) and those factors that lead to decision difficulty. Using the Garbage Can Model of Organizational Choice as a theoretical framework for LMS, this study uses decision resolution as a criterion of…

  16. Rethinking What We Do and How We Do It: Systems Thinking Strategies for Library Leadership

    Science.gov (United States)

    Somerville, Mary M.; Schader, Barbara; Huston, Malia E.

    2005-01-01

    Library leaders promote reconsideration of organisational purposes, processes, and relationships at California Polytechnic State University in San Luis Obispo, California, USA. Systems thinking, fortified by information literacy, informs workplace changes that provide learning experiences transferable to better alignment of library outcomes with…

  17. Investigating User Search Tactic Patterns and System Support in Using Digital Libraries

    Science.gov (United States)

    Joo, Soohyung

    2013-01-01

    This study aims to investigate users' search tactic application and system support in using digital libraries. A user study was conducted with sixty digital library users. The study was designed to answer three research questions: 1) How do users engage in a search process by applying different types of search tactics while conducting different…

  18. Oregon: Library Automation Developments.

    Science.gov (United States)

    Brandis, Rushton

    1996-01-01

    Discusses Oregon library automation projects, including Internet connectivity and a statewide multitype library network; a bibliographic information system with college and university libraries, including a union catalog; a Portland Area Library System that connects multitype libraries; and library staff training for the Internet. (LRW)

  19. Recommended Practice: Creating Cyber Forensics Plans for Control Systems

    Energy Technology Data Exchange (ETDEWEB)

    Eric Cornelius; Mark Fabro

    2008-08-01

    issues and to accommodate for the diversity in both system and architecture types, a framework based in recommended practices to address forensics in the control systems domain is required. This framework must be fully flexible to allow for deployment into any control systems environment regardless of technologies used. Moreover, the framework and practices must provide for direction on the integration of modern network security technologies with traditionally closed systems, the result being a true defense-in-depth strategy for control systems architectures. This document takes the traditional concepts of cyber forensics and forensics engineering and provides direction regarding augmentation for control systems operational environments. The goal is to provide guidance to the reader with specifics relating to the complexity of cyber forensics for control systems, guidance to allow organizations to create a self-sustaining cyber forensics program, and guidance to support the maintenance and evolution of such programs. As the current control systems cyber security community of interest is without any specific direction on how to proceed with forensics in control systems environments, this information product is intended to be a first step.

  20. Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

    Science.gov (United States)

    Mihai, Gabroveanu

    2015-09-01

    Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

  1. CitRec 2017 : International Workshop on Recommender Systems for Citizens

    NARCIS (Netherlands)

    Yang, J.; Sun, Zhu; Bozzon, A.; Zhang, J.; Larson, M.A.

    2017-01-01

    The "International Workshop on Recommender Systems for Citizens" (CitRec) is focused on a novel type of recommender systems both in terms of ownership and purpose: recommender systems run by citizens and serving society as a whole.

  2. Diagnosis and recommender system for some neglected tropical ...

    African Journals Online (AJOL)

    With this development, a prompt medical diagnosis, effective drug recommendations and promulgation of effective policies could be provided at community settings where there are shortages in material and human resources for managing these neglected tropical diseases. Keywords: Tropical diseases, recommender ...

  3. Using geographic information systems to identify prospective marketing areas for a special library.

    Science.gov (United States)

    McConnaughy, Rozalynd P; Wilson, Steven P

    2006-05-04

    The Center for Disability Resources (CDR) Library is the largest collection of its kind in the Southeastern United States, consisting of over 5,200 books, videos/DVDs, brochures, and audiotapes covering a variety of disability-related topics, from autism to transition resources. The purpose of the library is to support the information needs of families, faculty, students, staff, and other professionals in South Carolina working with individuals with disabilities. The CDR Library is funded on a yearly basis; therefore, maintaining high usage is crucial. A variety of promotional efforts have been used to attract new patrons to the library. Anyone in South Carolina can check out materials from the library, and most of the patrons use the library remotely by requesting materials, which are then mailed to them. The goal of this project was to identify areas of low geographic usage as a means of identifying locations for future library marketing efforts. Nearly four years worth of library statistics were compiled in a spreadsheet that provided information per county on the number of checkouts, the number of renewals, and the population. Five maps were created using ArcView GIS software to create visual representations of patron checkout and renewal behavior per county. Out of the 46 counties in South Carolina, eight counties never checked out materials from the library. As expected urban areas and counties near the library's physical location have high usage totals. The visual representation of the data made identification of low usage regions easier than using a standalone database with no visual-spatial component. The low usage counties will be the focus of future Center for Disability Resources Library marketing efforts. Due to the impressive visual-spatial representations created with Geographic Information Systems, which more efficiently communicate information than stand-alone database information can, librarians may benefit from the software's use as a

  4. Healthcare information systems: data mining methods in the creation of a clinical recommender system

    Science.gov (United States)

    Duan, L.; Street, W. N.; Xu, E.

    2011-05-01

    Recommender systems have been extensively studied to present items, such as movies, music and books that are likely of interest to the user. Researchers have indicated that integrated medical information systems are becoming an essential part of the modern healthcare systems. Such systems have evolved to an integrated enterprise-wide system. In particular, such systems are considered as a type of enterprise information systems or ERP system addressing healthcare industry sector needs. As part of efforts, nursing care plan recommender systems can provide clinical decision support, nursing education, clinical quality control, and serve as a complement to existing practice guidelines. We propose to use correlations among nursing diagnoses, outcomes and interventions to create a recommender system for constructing nursing care plans. In the current study, we used nursing diagnosis data to develop the methodology. Our system utilises a prefix-tree structure common in itemset mining to construct a ranked list of suggested care plan items based on previously-entered items. Unlike common commercial systems, our system makes sequential recommendations based on user interaction, modifying a ranked list of suggested items at each step in care plan construction. We rank items based on traditional association-rule measures such as support and confidence, as well as a novel measure that anticipates which selections might improve the quality of future rankings. Since the multi-step nature of our recommendations presents problems for traditional evaluation measures, we also present a new evaluation method based on average ranking position and use it to test the effectiveness of different recommendation strategies.

  5. Total System Performance Assessment for the Site Recommendation

    Energy Technology Data Exchange (ETDEWEB)

    None

    2000-10-02

    Site Recommendation (SR). The Total System Performance Assessment-Site Recommendation (TSPA-SR) will present a compliance evaluation of overall system performance against the guidelines and requirements in the revision of the DOE siting guidelines to be promulgated at 10 CFR 963, U.S. Nuclear Regulatory Commission (NRC) regulation for HLW disposal at proposed 10 CFR 63 (the proposed rule has been published at 64 FR 8640), and U.S. Environmental Protection Agency (EPA) environmental radiation protection standard to be promulgated at 40 CFR 197. At present, the NRC has issued the proposed 10 CFR 63 (64 FR 8640) for public comment whereas the EPA standard and the revised DOE siting guidelines are currently being developed. EPA has announced the release of 40 CFR 197 proposed rule on its website (www.epa.gov/radiation/yucca/rule.qui.htm) and the Federal Register announcement (which initiates the 90 day public comment period) is expected by the end of August, 1999. The purpose of this document is to present the overall goals, objectives, scope, methods, approach, and assumptions to be used in the development of the TSPA-SR. This document will serve as a communication tool for coordinating the DOE TSPA activities and for keeping the NRC staff informed of the TSPA activities for the SR.

  6. Publishing WWII aerial photographs in geographical and library information systems

    NARCIS (Netherlands)

    Verhelst, E.C.H.; Missel, L.; Vanmeulebrouk, B.; Rip, F.I.

    2012-01-01

    The Library of the Dutch Wageningen University and Research centre houses a collection of aerial photographs taken by the Allied Air Forces. The collection is part of a project that aims to publish these images in a user friendly way so that they are accessible to a wide audience. This paper

  7. Enhanced digital library system that supports sustainable knowledge

    African Journals Online (AJOL)

    The essence of this research is to design a digital library which runs on internet platform. It is all about the provision of digital collections, services and infrastructure to support continuous learning, research, scholarly communication as well as preservation and conservation of recorded knowledge accessible anywhere and ...

  8. An Integrated System for Managing the Andalusian Parliament's Digital Library

    Science.gov (United States)

    de Campos, Luis M.; Fernandez-Luna, Juan M.; Huete, Juan F.; Martin-Dancausa, Carlos J.; Tagua-Jimenez, Antonio; Tur-Vigil, Carmen

    2009-01-01

    Purpose: The purpose of this paper is to present an overview of the reorganisation of the Andalusian Parliament's digital library to improve the electronic representation and access of its official corpus by taking advantage of a document's internal organisation. Video recordings of the parliamentary sessions have also been integrated with their…

  9. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users.

    Science.gov (United States)

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.

  10. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

    Science.gov (United States)

    Ravi, Logesh; Vairavasundaram, Subramaniyaswamy

    2016-01-01

    Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW) and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented. PMID:27069468

  11. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users

    Directory of Open Access Journals (Sweden)

    Logesh Ravi

    2016-01-01

    Full Text Available Rapid growth of web and its applications has created a colossal importance for recommender systems. Being applied in various domains, recommender systems were designed to generate suggestions such as items or services based on user interests. Basically, recommender systems experience many issues which reflects dwindled effectiveness. Integrating powerful data management techniques to recommender systems can address such issues and the recommendations quality can be increased significantly. Recent research on recommender systems reveals an idea of utilizing social network data to enhance traditional recommender system with better prediction and improved accuracy. This paper expresses views on social network data based recommender systems by considering usage of various recommendation algorithms, functionalities of systems, different types of interfaces, filtering techniques, and artificial intelligence techniques. After examining the depths of objectives, methodologies, and data sources of the existing models, the paper helps anyone interested in the development of travel recommendation systems and facilitates future research direction. We have also proposed a location recommendation system based on social pertinent trust walker (SPTW and compared the results with the existing baseline random walk models. Later, we have enhanced the SPTW model for group of users recommendations. The results obtained from the experiments have been presented.

  12. The shortage of superhero comic books in academic libraries: Case study of the Library System of the University of Puerto Rico at Río Piedras

    Directory of Open Access Journals (Sweden)

    Manuel Martínez Nazario

    2015-07-01

    Full Text Available Objective. The objective of this article has been to prove the findings about the lack of superhero comic books in an academic library in Puerto Rico, as in to demostrate its academic value of this bibliographical resource, and the possibility of integration. Method. For this qualitative study, it has been consulted the related literature, and it has been used interviews, with the intention to explore the reasons of this phenomenon. Results. The shortage of superhero comic books is connected with the lack of curricular justification and the absence of recommendations for acquisition. Conclusions. The superhero comic books have demostrated a great popularity among the readers and have comfirmed their potential in the academic researches. The scope of this information source has surpassed the boundaries of entertainment and has been incorporated to school libraries, public libraries and academic libraries.

  13. Exposure diversity as a design principle for recommender systems

    NARCIS (Netherlands)

    Helberger, N.; Karpinnen, K.; D'Acunto, L.

    2018-01-01

    Personalized recommendations in search engines, social media and also in more traditional media increasingly raise concerns over potentially negative consequences for diversity and the quality of public discourse. The algorithmic filtering and adaption of online content to personal preferences and

  14. Design of an Automated Library Information Storage and Retrieval System for Library of Congress Division for the Blind and Physically Handicapped (DBPH). Final Report.

    Science.gov (United States)

    Systems Architects, Inc., Randolph, MA.

    A practical system for producing a union catalog of titles in the collections of the Library of Congress Division for the Blind and Physically Handicapped (DBPH), its regional network, and related agencies from a machine-readable data base is presented. The DBPH organization and operations and the associated regional library network are analyzed.…

  15. USE OF LIBRARIES IN OPEN AND DISTANCE LEARNING SYSTEM: Barriers to the Use of AIOU Libraries by Tutors and Students

    Directory of Open Access Journals (Sweden)

    Abdul Jabbar BHATTI,

    2012-04-01

    Full Text Available This study explores; the library needs of students and tutors of Allama Iqbal Open University (AIOU, utilization level of the library facilities and resources, the problems in the use of library, and suggestions for improvement of library facilities for students and tutors. Data collected from 4080 students and 526 tutors belonging to 15 different regional offices showed that students and tutors needed library for various educational purposes, the regional libraries were not being used much, and both tutors and students were facing various problems such as unsuitable library timing, long distance between library and their residence, non availability of latest journals, non availability of required material, lack of temperature control in the library, insufficient study area, lack of latest books, and inadequate staff. For improving library facility at regional level, the students and tutors suggested to; provide more books and journals, expand library timings, arrange library facility at workshop venues, make arrangements to advertise the resources and services at the library to the students, provide computers and internet service, provide trained staff, and arrange partnership with other academic libraries.

  16. Requirements for Semantic Educational Recommender Systems in Formal E-Learning Scenarios

    Directory of Open Access Journals (Sweden)

    Jesus G. Boticario

    2011-07-01

    Full Text Available This paper analyzes how recommender systems can be applied to current e-learning systems to guide learners in personalized inclusive e-learning scenarios. Recommendations can be used to overcome current limitations of learning management systems in providing personalization and accessibility features. Recommenders can take advantage of standards-based solutions to provide inclusive support. To this end we have identified the need for developing semantic educational recommender systems, which are able to extend existing learning management systems with adaptive navigation support. In this paper we present three requirements to be considered in developing these semantic educational recommender systems, which are in line with the service-oriented approach of the third generation of learning management systems, namely: (i a recommendation model; (ii an open standards-based service-oriented architecture; and (iii a usable and accessible graphical user interface to deliver the recommendations.

  17. Assessing the User Resistance to Recommender Systems in Exhibition

    Directory of Open Access Journals (Sweden)

    Chulmo Koo

    2017-11-01

    Full Text Available Under the paradigm shift toward smart tourism, the exhibition industry is making efforts to introduce innovative technologies that can provide more diverse and valuable experiences to attendees. However, various new information technologies have failed in a market in practice due to the user’s resistance against it. Since innovative technology, such as booth recommender systems (BRS, is changing, creating uncertainty among consumers, consumer’s resistance to innovative technology can be considered a normal reaction. Therefore, it is important for a company to understand the psychological aspect of the consumer’s resistance and make measures to overcome the resistance. Accordingly, based on the model of Kim and Kankanhalli (2009, by applying the perceived value, the technology acceptance model, and the status quo bias theory, this study focused on the importance of self-efficacy and technical support in the context of using BRS. To do this purpose, a total of 455 survey data that was collected from “Korea franchise exhibition” attendees were used to analyze the proposed model. Structural equation modeling was applied for data analysis. The result shows that perceived value was affected by relative advantage and switching cost, also switching cost reduced the perceived value. However, self-efficacy reduced the switching cost, thereby decreasing the resistance of exhibition attendees. In addition, technical support increased the relative advantage switching cost and the perceived value. Exhibition attendee’s resistance was significantly negatively affected by perceived value, and positively affected by switching cost. The results will provide balanced viewpoints between the relative advantage and switching cost for exhibition marketers, helping to strengthen the competitiveness in terms of sustainable tourism of exhibition.

  18. The Effect of Incorporating Good Learners' Ratings in e-Learning Content-Based Recommender System

    Science.gov (United States)

    Ghauth, Khairil Imran; Abdullah, Nor Aniza

    2011-01-01

    One of the anticipated challenges of today's e-learning is to solve the problem of recommending from a large number of learning materials. In this study, we introduce a novel architecture for an e-learning recommender system. More specifically, this paper comprises the following phases i) to propose an e-learning recommender system based on…

  19. Object library for a new generation of experiment-controlling applications under the UNIX operating system.

    Science.gov (United States)

    Gaponov, Y A; Ito, K; Amemiya, Y

    1998-05-01

    The Interface Object Library based on the Motif extension of the X Windows system and on the ESONE SVIC-VCC Library is presented. Some features of the applications for controlling a synchrotron radiation experiment are discussed. The Interface Object Library is written in the object-oriented C++ language. The library class-hierarchy structure is presented and discussed. Several interfaces were realized in the Interface Object Library: the Windows interface, the CAMAC interface and the interface for supporting the experiment. The behaviour of the objects describing the CAMAC crate and CAMAC block is discussed. The application of these protocols for controlling the fast one-coordinate position-sensitive X-ray detector OD3 is presented.

  20. Library Automation in Pakistan.

    Science.gov (United States)

    Haider, Syed Jalaluddin

    1998-01-01

    Examines the state of library automation in Pakistan. Discusses early developments; financial support by the Netherlands Library Development Project (Pakistan); lack of automated systems in college/university and public libraries; usage by specialist libraries; efforts by private-sector libraries and the National Library in Pakistan; commonly used…

  1. A Library Book Intelligence Classification System based on Multi-agent

    Science.gov (United States)

    Pengfei, Guo; Liangxian, Du; Junxia, Qi

    This paper introduces the concept of artificial intelligence into the administrative system of the library, and then gives the model of robot system in book classification based on multi-agent. The intelligent robot can recognize books' barcode automatically and here gives the classification algorithm according to the book classification of Chinese library. The algorithm can calculate the concrete position of the books, and relate with all similar books, thus the robot can put all congener books once without turning back.

  2. The ALIS Online Circulation Control System of Danmarks Tekniske Bibliotek. Stockholm Papers in Library and Information Science.

    Science.gov (United States)

    Barnholdt, B.; Hojer-Pedersen, N.

    This report on the Automated Library Information Control System (ALIS) of the National Technological Library of Denmark focuses on the circulation control functions of the integrated, distributed processing system, which also functions as an online catalog for a bibliographic database of approximately 120,000 records with library location codes.…

  3. A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

    OpenAIRE

    Mohamed FRIKHA; Mohamed MHIRI; Gargouri, Faiez

    2015-01-01

    Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical and surgical teams. Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations. That is to say, information, interests, and recommendations retrieved from social networks can improve the prediction accuracy. This paper aims to improve traditional recommender systems by incorporating information in social network; including user p...

  4. The Clinical Practice Library of Medicine (CPLM): An on-line biomedical computer library. System documentation

    Science.gov (United States)

    Grams, R. R.

    1982-01-01

    A system designed to access a large range of available medical textbook information in an online interactive fashion is described. A high level query type database manager, INQUIRE, is used. Operating instructions, system flow diagrams, database descriptions, text generation, and error messages are discussed. User information is provided.

  5. Providing Personalized Services to Users in a Recommender System

    Science.gov (United States)

    Oduwobi, Olukunle; Ojokoh, Bolanle Adefowoke

    2015-01-01

    Instructors recommend learning materials to a class of students not minding the learning ability and reading habit of each student. Learners are finding it problematic to make a decision about which available learning materials best meet their situation and will be beneficial to their course of study. In order to address this challenge, a new…

  6. Effectiveness of caching in a distributed digital library system

    DEFF Research Database (Denmark)

    Hollmann, J.; Ardø, Anders; Stenstrom, P.

    2007-01-01

    offers a tremendous functional advantage to a user, the fulltext download delays caused by the network and queuing in servers make the user-perceived interactive performance poor. This paper studies how effective caching of articles at the client level can be achieved as well as at intermediate points...... as manifested by gateways that implement the interfaces to the many fulltext archives. A central research question in this approach is: What is the nature of locality in the user access stream to such a digital library? Based on access logs that drive the simulations, it is shown that client-side caching can...

  7. Some ISIS-Software History and Technical Background on the new FOSS Integrated Library System ABCD

    Directory of Open Access Journals (Sweden)

    Egbert de Smet

    2010-02-01

    Full Text Available While free and open source software is gaining momentum in library automation, it is still not a trivial event to launch a full-blown integrated library system (ILS, given today's high demands on such library systems. In this article we describe the ISIS-software origins of the newly launched ABCD-software for which there is a morethan-average interest in many parts of the libraries and information communities in the developing world. Many — especially younger — librarians in the West have never heard about ISIS, its relevance and its technological concepts, so we will try to shed some light on this in order for librarians to better judge the meaning of the ABCD software for international librarianship and — why not — perhaps even for their own purposes.

  8. A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence.

    Science.gov (United States)

    Alphy, Anna; Prabakaran, S

    2015-01-01

    In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations.

  9. A Dynamic Recommender System for Improved Web Usage Mining and CRM Using Swarm Intelligence

    Directory of Open Access Journals (Sweden)

    Anna Alphy

    2015-01-01

    Full Text Available In modern days, to enrich e-business, the websites are personalized for each user by understanding their interests and behavior. The main challenges of online usage data are information overload and their dynamic nature. In this paper, to address these issues, a WebBluegillRecom-annealing dynamic recommender system that uses web usage mining techniques in tandem with software agents developed for providing dynamic recommendations to users that can be used for customizing a website is proposed. The proposed WebBluegillRecom-annealing dynamic recommender uses swarm intelligence from the foraging behavior of a bluegill fish. It overcomes the information overload by handling dynamic behaviors of users. Our dynamic recommender system was compared against traditional collaborative filtering systems. The results show that the proposed system has higher precision, coverage, F1 measure, and scalability than the traditional collaborative filtering systems. Moreover, the recommendations given by our system overcome the overspecialization problem by including variety in recommendations.

  10. Collaborating Filtering Community Image Recommendation System Based on Scene

    Directory of Open Access Journals (Sweden)

    He Tao

    2017-01-01

    Full Text Available With the advancement of smart city, the development of intelligent mobile terminal and wireless network, the traditional text information service no longer meet the needs of the community residents, community image service appeared as a new media service. “There are pictures of the truth” has become a community residents to understand and master the new dynamic community, image information service has become a new information service. However, there are two major problems in image information service. Firstly, the underlying eigenvalues extracted by current image feature extraction techniques are difficult for users to understand, and there is a semantic gap between the image content itself and the user’s understanding; secondly, in community life of the image data increasing quickly, it is difficult to find their own interested image data. Aiming at the two problems, this paper proposes a unified image semantic scene model to express the image content. On this basis, a collaborative filtering recommendation model of fusion scene semantics is proposed. In the recommendation model, a comprehensiveness and accuracy user interest model is proposed to improve the recommendation quality. The results of the present study have achieved good results in the pilot cities of Wenzhou and Yan'an, and it is applied normally.

  11. Membangun Sistem Otomasi Perpustakaan dengan Senayan Library Management System (SLiMS

    Directory of Open Access Journals (Sweden)

    Muhammad Azwar

    2013-06-01

    Full Text Available Abstract : Currently, information age encourages every organization to implement technology for its own convenience. Library  as  one  of  the  professional  institutions,  develop  automation  systems  as  one  application  of  the technology.  The  using  of  Free  Open  Source  Software  (FOSS  is  growing  in  IT  world  because  it  has  some advantages. Many organizations including the libraries choose to use FOSS. Senayan Library Management System or SLiMS is a web-based FOSS that  can be used to build the library automation system . SLiMS has many advantages for the library automation systems. SLiMS is widely used in various types of libraries both in  Indonesia  and  abroad.  It  has  a  great  power  in  the  SLiMS  community  that  formed  an  important  role  in almost every city in Indonesia.  Keywords : Free Open Source Software (FOSS,   Library automation system, Senayan Library Management System (SLiMS Abstrak : Era informasi saat ini mendorong setiap organisasi untuk mengimplementasikan teknologi untuk berbagai kemudahan. Perpustakaan sebagai salah satu institusi profesional mengembangkan sistem otomasi sebagai salah satu penerapan teknologi tersebut. Free Open Source Software (FOSS semakin semarak dan berkembang di dunia IT dikarenakan beberapa keuntungan yang dimilikinya, sehingga banyak organisasi termasuk perpustakaan memilih menggunakan FOSS tersebut. Senayan Library Management System atau SLiMS merupakan salah satu FOSS  berbasis web yang dapat digunakan untuk membangun sistem otomasi perpustakaan. SLiMS memiliki banyak kelebihan dibandingkan sistem otomasi perpustakaan lainnya. SLiMS banyak digunakan di berbagai jenis perpustakaan baik di Indonesia maupun di luar negeri. SLiMS memiliki kekuatan besar pada peran penting komunitas yang terbentuk di hampir setiap kota di Indonesia. Kata kunci : Free Open Source Software (FOSS; Sistem Otomasi Perpustakaan; Senayan Library

  12. Security of Heterogeneous Content in Cloud Based Library Information Systems Using an Ontology Based Approach

    Directory of Open Access Journals (Sweden)

    Mihai DOINEA

    2014-01-01

    Full Text Available As in any domain that involves the use of software, the library information systems take advantages of cloud computing. The paper highlights the main aspect of cloud based systems, describing some public solutions provided by the most important players on the market. Topics related to content security in cloud based services are tackled in order to emphasize the requirements that must be met by these types of systems. A cloud based implementation of an Information Library System is presented and some adjacent tools that are used together with it to provide digital content and metadata links are described. In a cloud based Information Library System security is approached by means of ontologies. Aspects such as content security in terms of digital rights are presented and a methodology for security optimization is proposed.

  13. A Computer System for Effective Management of a Medical Library Network

    Directory of Open Access Journals (Sweden)

    Richard E. Nance

    1971-12-01

    Full Text Available TRIPS (TALON Reporting and Information Processing System is an interactive software system for generating reports to NLM on regional medical library network activity and constitutes a vital part of a network management information system (NEMIS for the South Central Regional Medical Library Program. Implemented on a PDP-lOfSRU 1108 interfaced system, TRIPS accepts paper tape input describing network transactions and generates output statistics on disposition of requests, elapsed time for completing filled requests, time to clear unfilled requests, arrival time distribution of requests by day of month, and various other measures of activity andjor performance. Emphasized in the TRIPS design are flexibility, extensibility, and system integrity. Processing costs, neglecting preparation of input which may be accomplished in several ways, are estimated at $.05 per transaction, a transaction being the transmittal of a message from one library to another.

  14. Library improvement through data analytics

    CERN Document Server

    Farmer, Lesley S J

    2017-01-01

    This book shows how to act on and make sense of data in libraries. Using a range of techniques, tools and methodologies it explains how data can be used to help inform decision making at every level. Sound data analytics is the foundation for making an evidence-based case for libraries, in addition to guiding myriad organizational decisions, from optimizing operations for efficiency to responding to community needs. Designed to be useful for beginners as well as those with a background in data, this book introduces the basics of a six point framework that can be applied to a variety of library settings for effective system based, data-driven management. Library Improvement Through Data Analytics includes: - the basics of statistical concepts - recommended data sources for various library functions and processes, and guidance for using census, university, or - - government data in analysis - techniques for cleaning data - matching data to appropriate data analysis methods - how to make descriptive statistics m...

  15. Recommendations for Pipes Selections in Heating and Cooling Systems

    Directory of Open Access Journals (Sweden)

    Cătălin Popovici

    2009-01-01

    Full Text Available The present study finds it’s purpose in stressing that pipes selection is not just a matter of „how it is used”, or „how much does it costs” but also a question of „where” . Using experience of other countries, the work has at the basis calculation values from France, USA and UK and recommends selection tables of pipes diameters for low, medium and high pressure drops. Also, it illustrates the diameter choice in two different situations based on the economic criteria.

  16. The value of health libraries and librarians to the Irish health system.

    Science.gov (United States)

    Lawton, A

    2014-03-01

    Librarians working in the Irish health sector are under threat. This is a relatively young profession in comparison with international counterparts, with a low staffing base even at its peak. The public sector moratorium has led to professionally qualified librarians and library assistants not being replaced right across the health system. Librarians are employed in the HSE, voluntary sector, and university sectors. The value that this profession brings to healthcare has been documented in systematic reviews and literature in other countries. In Ireland this group is represented by the Health Science Libraries Group (HSLG), a section of the Library Association of Ireland. The HSLG commissioned research into the status of the profession as well as Irish health libraries. This resulted in the publication of the "SHeLLI Report" in 2011. Results of the report are outlined here and selected examples of value of librarians to healthcare are described.

  17. Postures and Motions Library Development for Verification of Ground Crew Human Systems Integration Requirements

    Science.gov (United States)

    Jackson, Mariea Dunn; Dischinger, Charles; Stambolian, Damon; Henderson, Gena

    2012-01-01

    Spacecraft and launch vehicle ground processing activities require a variety of unique human activities. These activities are being documented in a Primitive motion capture library. The Library will be used by the human factors engineering in the future to infuse real to life human activities into the CAD models to verify ground systems human factors requirements. As the Primitive models are being developed for the library the project has selected several current human factors issues to be addressed for the SLS and Orion launch systems. This paper explains how the Motion Capture of unique ground systems activities are being used to verify the human factors analysis requirements for ground system used to process the STS and Orion vehicles, and how the primitive models will be applied to future spacecraft and launch vehicle processing.

  18. Research for Design: Exploring Student and Instructor Attitudes toward Accessing Library Resources and Services from Course Management Systems (CMS

    Directory of Open Access Journals (Sweden)

    Merinda McLure

    2010-10-01

    Full Text Available The authors report a study concerning student and instructor attitudes toward accessing library resources and services from within course management systems (CMS. In spring 2008, the authors conducted semi-structured interviews with a small population of students and instructors at the University of California, Berkeley (UCB and at Colorado State University (CSU. They asked participants to respond to examples of library integrations in course management systems at other institutions and to report their local experiences with both the campus CMS and library services. Participant responses frequently challenged and complicated the authors’ assumptions about best practices in integrating a library presence and library services in CMS. The interview findings are discussed thematically, in relation to higher education and library literature, and can inform librarians’ efforts to integrate an effective library presence in a campus course management system. This study might be readily adapted for implementation at other institutions.

  19. Cold-Start recommender system problem within a multidimensional data warehouse

    OpenAIRE

    Negre, Elsa; Ravat, Franck; Teste, Olivier; Tournier, Ronan

    2013-01-01

    Data warehouses store large volumes of consolidated and historized multidimensional data for analysis and exploration by decision-makers. Exploring data is an incremental OLAP (On-Line Analytical Processing) query process for searching relevant information in a dataset. In order to ease user exploration, recommender systems are used. However when facing a new system, such recommendations do not operate anymore. This is known as the cold-start problem. In this paper, we provide recommendations...

  20. Social and Behavioral Aspects of a Tag-Based Recommender System

    DEFF Research Database (Denmark)

    Durao, Frederico; Dolog, Peter

    2009-01-01

    Collaborative tagging has emerged as a useful means to organize and share resources on the Web. Recommender systems have been utilized tags for identifying similar resources and generate personalized recommendations. In this paper, we analyze social and behavioral aspects of a tag-based recommender...... system which suggests similar Web pages based on the similarity of their tags. Tagging behavior and language anomalies in tagging activities are some aspects examined from an experiment involving 38 people from 12 countries....

  1. Hardware performance assessment recommendations and tools for baropodometric sensor systems

    Directory of Open Access Journals (Sweden)

    Claudia Giacomozzi

    2010-06-01

    Full Text Available Accurate plantar pressure measurements are mandatory in both clinical and research contexts. Differences in accuracy, precision, reliability of pressure measurement devices (PMDs prevented so far the onset of standardization processes and of reliable reference datasets. The Italian National Institute of Health (ISS approved and conducted a scientific project aimed to design, validate and implement dedicated testing methods for both in-factory and on-the-field PMD assessment. A general-purpose experimental set-up was built, complete and suitable for the assessment of PMDs based on different sensor technology, electronic conditioning and mechanical solutions. Preliminary assessments have been conducted on 5 commercial PMDs. The study lead to the definition of: i an appropriate set of instruments and procedures for PMD technical assessment; ii a minimum set of significant parameters for the technical characterization of the PMD performance; iii some recommendations to both manufacturers and end users for an appropriate use in clinics and in research context

  2. An Ontology-Based Tourism Recommender System Based on Spreading Activation Model

    Science.gov (United States)

    Bahramian, Z.; Abbaspour, R. Ali

    2015-12-01

    A tourist has time and budget limitations; hence, he needs to select points of interest (POIs) optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences. In this paper, a new travel recommender system is proposed to overcome information overload problem. A recommender system (RS) evaluates the overwhelming number of POIs and provides personalized recommendations to users based on their preferences. A content-based recommendation system is proposed, which uses the information about the user's preferences and POIs and calculates a degree of similarity between them. It selects POIs, which have highest similarity with the user's preferences. The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs. The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component. User's feedback adapts the user's preferences using Spreading Activation (SA) strategy. It shows the proposed recommender system is effective and improves the overall performance of the traditional content-based recommender systems.

  3. AN ONTOLOGY-BASED TOURISM RECOMMENDER SYSTEM BASED ON SPREADING ACTIVATION MODEL

    Directory of Open Access Journals (Sweden)

    Z. Bahramian

    2015-12-01

    Full Text Available A tourist has time and budget limitations; hence, he needs to select points of interest (POIs optimally. Since the available information about POIs is overloading, it is difficult for a tourist to select the most appreciate ones considering preferences. In this paper, a new travel recommender system is proposed to overcome information overload problem. A recommender system (RS evaluates the overwhelming number of POIs and provides personalized recommendations to users based on their preferences. A content-based recommendation system is proposed, which uses the information about the user’s preferences and POIs and calculates a degree of similarity between them. It selects POIs, which have highest similarity with the user’s preferences. The proposed content-based recommender system is enhanced using the ontological information about tourism domain to represent both the user profile and the recommendable POIs. The proposed ontology-based recommendation process is performed in three steps including: ontology-based content analyzer, ontology-based profile learner, and ontology-based filtering component. User’s feedback adapts the user’s preferences using Spreading Activation (SA strategy. It shows the proposed recommender system is effective and improves the overall performance of the traditional content-based recommender systems.

  4. California State Library: Processing Center Design and Specifications. Volume IV, Serials Control System.

    Science.gov (United States)

    Fried, Martin D.; Dunham, Ruth

    The CSL Serials Control System is aimed primarily at satisfying control and retrieval requirements of serials data for subscribers to the California State Library Processing Center (CSL-PC). The primary objective of the system is to provide a method of serials control which will be very flexible both in terms of input requirements and output…

  5. Implementation of an Integrated Information Management System at the National Library of Wales: A Case Study

    Science.gov (United States)

    Evans, Manon Foster; Thomas, Sian

    2007-01-01

    Purpose: This paper aims to describe the experiences of the National Library of Wales in implementing an integrated information management system. Design/methodology/approach: Discusses the stages involved in the procurement process, data migration and general system implementation. Findings: Emphasises the need for a well-prepared yet flexible…

  6. Information economy based on knowledge organization systems, with emphasis on Folksonomy: dissertation of academic libraries

    Directory of Open Access Journals (Sweden)

    Mahshid Eltemasi

    2015-09-01

    Full Text Available Purpose: Information organization have been a way to facilitate information retrieval. Thus, different knowledge organization systems have been developed over the years. In today's world information and knowledge based economy are the competitive advantage of organizations, and since that knowledge organization systems are one of the pillars of the economy advantage, so this paper sought to investigate the two knowledge information systems: Dewey decimal system to represent the traditional systems and modern systems of representative Folksonomy, in economy advantage in libraries. Methodology: The study sample of this paper is 4800 thesis of an academic library, and this research method is the comparative method, based on the value of information formula. Results: The results of this study indicate that Folksonomy system is much more economical than Dewey system. This article is an original study has not been published before in any other publication. So Folksonomy is a economical knowledge organization system.

  7. The SAPO Campus Recommender System: A Study about Students' and Teachers' Opinions

    Science.gov (United States)

    Pedro, Luís; Santos, Carlos; Almeida, Sara Filipa; Ramos, Fernando; Moreira, António; Almeida, Margarida; Antunes, Maria João

    2014-01-01

    This paper aims to assess the relevance and usefulness of the SAPO Campus recommender system, through the analysis of students' and teachers' opinions. Recommender systems, assuming a "technology-driven" approach, have been designed with the primary goal of predicting user interests based on the implicit analysis of their actions and…

  8. Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions

    NARCIS (Netherlands)

    Sandy, Heleau; Drachsler, Hendrik; Gillet, Dennis

    2009-01-01

    Heleou, S., Drachsler, H., & Gillet, D. (2009). Evaluation of Recommender Systems for Technology-Enhanced Learning: Challenges and Possible Solutions. 1st workshop on Context-aware Recommender Systems for Learning at the Alpine Rendez-Vous. November, 30-December, 3, 2009, Garmisch-Patenkirchen,

  9. How Recommender Systems in Technology-Enhanced Learning depend on Context

    NARCIS (Netherlands)

    Drachsler, Hendrik; Manouselis, Nikos

    2009-01-01

    Drachsler, H., & Manouselis, N. (2009). How Recommender Systems in Technology-Enhanced Learning depend on Context. Presentation given at the 1st workshop on Context-aware Recommender Systems for Learning at the Alpine Rendez-Vous 2009. November, 30 - December, 3, 2009, Garmisch-Patenkirchen,

  10. Horse Racing at the Library: How One Library System Increased the Usage of Some of Its Online Databases

    Science.gov (United States)

    Kurhan, Scott H.; Griffing, Elizabeth A.

    2011-01-01

    Reference services in public libraries are changing dramatically. The Internet, online databases, and shrinking budgets are all making it necessary for non-traditional reference staff to become familiar with online reference tools. Recognizing the need for cross-training, Chesapeake Public Library (CPL) developed a program called the Database…

  11. A New Profile Learning Model for Recommendation System based on Machine Learning Technique

    Directory of Open Access Journals (Sweden)

    Shereen H. Ali

    2016-03-01

    Full Text Available Recommender systems (RSs have been used to successfully address the information overload problem by providing personalized and targeted recommendations to the end users. RSs are software tools and techniques providing suggestions for items to be of use to a user, hence, they typically apply techniques and methodologies from Data Mining. The main contribution of this paper is to introduce a new user profile learning model to promote the recommendation accuracy of vertical recommendation systems. The proposed profile learning model employs the vertical classifier that has been used in multi classification module of the Intelligent Adaptive Vertical Recommendation (IAVR system to discover the user’s area of interest, and then build the user’s profile accordingly. Experimental results have proven the effectiveness of the proposed profile learning model, which accordingly will promote the recommendation accuracy.

  12. Survey of Integration Cost-Adoption between Digital Library Systems in Iran

    Directory of Open Access Journals (Sweden)

    Mehdi Alipour-Hafezi

    2013-03-01

    Full Text Available The main goal of this article was identifying cost elements in syntactic integrating digital library systems in Iran. The levels of integration are content, technical, and organizational. It is obvious we could access some sub goals such as identifying current situation of information systems from the view points of data storage, needed standard outputs, and the current situation of interoperability in Iran, and suitable integration model in Iranian digital libraries. The analytical survey method was used in this research. Research population included 11 digital library systems that were used in Iranian digital libraries. In order to gather information, a researcher made questionnaire was used because of not existing standard collecting data tool. Findings demonstrated that we should search on three levels of interoperability: content, technical, and organizational level in order to identifying cost-adoption elements in syntactic interoperability. Also, findings showed that the elements of organizational level were too important level in cost-adoption elements. Also this research demonstrated that the high cost of adoption was related to libraries and their organizations.

  13. Design of books inventory with RFID antenna in library management system

    Directory of Open Access Journals (Sweden)

    Cheng Ching-Chien

    2017-01-01

    Full Text Available A 915 MHz printed radio-frequency-identification (RFID antennas with the characteristics of good gain and omnidirectional beam wave is constructed and evaluated in this study. The objective is to find out their best reading rates for providing effective wireless communications among RFID antenna during the library book inventory process. And an optimal library inventory system which is based on electromagnetic identification (EMID technology is proposed, which is constructed to find the optimal tag location for a book, test the tag readability for bookshelves, and connect a couple of multi-layer bookshelves with multiplexers and updat the tag reading status in the database of the computer terminal. The fabricated antenna reader and the proposed system are embedded into different locations of bookshelves and tested at the library of Cheng Shiu University in Taiwan. According to the experimental results, the designed prototype of the antenna reader has the characteristics of the directional radiation pattern, good gain, simple shape, low cost and is easy to be integrated into the bookshelf. And the designed library inventory system can authenticate the location of a book automatically. They can benefit administrating librarians with the capabilities of decreasing the library inventory processing time and reducing the possibility of the books being misplaced.

  14. Tutoring the Elderly on the Use of Recommending Systems

    Science.gov (United States)

    Savvopoulos, Anastasios; Virvou, Maria

    2010-01-01

    Purpose: The elderly are often unfamiliar with computer technology and can encounter great difficulties. Moreover, the terms used in such systems may prove to be a challenge for these users. The aim of this research is to tutor the elderly on using an adaptive e-shop system in order to buy products easily. Design/methodology/approach: In view of…

  15. E-Learning Activity-Based Material Recommendation System

    Science.gov (United States)

    Liu, Feng-jung; Shih, Bai-jiun

    2007-01-01

    Purpose: Computer based systems have great potential for delivering learning material. However, problems are encountered, such as: difficulty of Learning resource sharing, high redundancy of learning material, and deficiency of the course brief. In order to solve these problems, this paper aims to propose an automatic inquiring system for learning…

  16. Personalized Recommender System for e-Learning Environment

    Science.gov (United States)

    Benhamdi, Soulef; Babouri, Abdesselam; Chiky, Raja

    2017-01-01

    Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner's needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student's interactions…

  17. A Stock Trading Recommender System Based on Temporal Association Rule Mining

    Directory of Open Access Journals (Sweden)

    Binoy B. Nair

    2015-04-01

    Full Text Available Recommender systems capable of discovering patterns in stock price movements and generating stock recommendations based on the patterns thus discovered can significantly supplement the decision-making process of a stock trader. Such recommender systems are of great significance to a layperson who wishes to profit by stock trading even while not possessing the skill or expertise of a seasoned trader. A genetic algorithm optimized Symbolic Aggregate approXimation (SAX–Apriori based stock trading recommender system, which can mine temporal association rules from the stock price data set to generate stock trading recommendations, is presented in this article. The proposed system is validated on 12 different data sets. The results indicate that the proposed system significantly outperforms the passive buy-and-hold strategy, offering scope for a layperson to successfully invest in capital markets.

  18. PRS: PERSONNEL RECOMMENDATION SYSTEM FOR HUGE DATA ANALYSIS USING PORTER STEMMER

    Directory of Open Access Journals (Sweden)

    T N Chiranjeevi

    2016-04-01

    Full Text Available Personal recommendation system is one which gives better and preferential recommendation to the users to satisfy their personalized requirements such as practical applications like Webpage Preferences, Sport Videos preferences, Stock selection based on price, TV preferences, Hotel preferences, books, Mobile phones, CDs and various other products now use recommender systems. The existing Pearson Correlation Coefficient (PCC and item-based algorithm using PCC, are called as UPCC and IPCC respectively. These systems are mainly based on only the rating services and does not consider the user personal preferences, they simply just give the result based on the ratings. As the size of data increases it will give the recommendations based on the top rated services and it will miss out most of user preferences. These are main drawbacks in the existing system which will give same results to the users based on some evaluations and rankings or rating service, they will neglect the user preferences and necessities. To address this problem we propose a new approach called, Personnel Recommendation System (PRS for huge data analysis using Porter Stemmer to solve the above challenges. In the proposed system it provides a personalized service recommendation list to the users and recommends the most useful services to the users which will increase the accuracy and efficiency in searching better services. Particularly, a set of suggestions or keywords are provided to indicate user preferences and we used Collaborative Filtering and Porter Stemmer algorithm which gives a suitable recommendations to the users. In real, the broad experiments are conducted on the huge database which is available in real world, and outcome shows that our proposed personal recommender method extensively improves the precision and efficiency of service recommender system over the KASR method. In our approach mainly consider the user preferences so it will not miss out the any of the data

  19. Integrating Interactive Visualizations in the Search Process of Digital Libraries and IR Systems

    CERN Document Server

    Hienert, Daniel; Schaer, Philipp; Mayr, Philipp

    2012-01-01

    Interactive visualizations for exploring and retrieval have not yet become an integral part of digital libraries and information retrieval systems. We have integrated a set of interactive graphics in a real world social science digital library. These visualizations support the exploration of search queries, results and authors, can filter search results, show trends in the database and can support the creation of new search queries. The use of weighted brushing supports the identification of related metadata for search facets. We discuss some use cases of the combination of IR systems and interactive graphics. In a user study we verify that users can gain insights from statistical graphics intuitively and can adopt interaction techniques.

  20. SCIENTIFIC EDUCATIONAL ELECTRONIC LIBRARIES IN EDUCATING INFORMATIONAL SYSTEMS AND TECHNOLOGIES OF FUTURE MANAGERS

    Directory of Open Access Journals (Sweden)

    Nataliia S. Prilutska

    2013-09-01

    Full Text Available The article deals with the main principles of electronic libraries. It analyzes primary types of digital scientific and educational resources, presented in electronic libraries and defines the techniques of effective structuring of the learning content by means of informational technologies in the conditions of the informational processes intensification. The scientific fundamentals of choice of educational material are determined and the structure of the educational subject ''Informational Systems and Technologies'' under the credit and module system are designated. The declared structure of educational subject is taught for the students of the social-pedagogical department, referral courses ''Management''.

  1. The Impact of Channel Context and Task on Consumers' Evaluations of Personalized Health Recommendation Systems

    NARCIS (Netherlands)

    Wendel, S.; Ronteltap, A.; Dellaert, B.G.C.; Trijp, van J.C.M.

    2008-01-01

    We investigate consumer perspectives on complex, multistage systems designed to provide personalized health recommendations. We conceptualize the underlying benefit trade-offs that consumers make in evaluating such systems as the manifestation of a psychological contract in which consumers

  2. Recommendations to alarm systems and lessons learned on alarm system implementation

    Energy Technology Data Exchange (ETDEWEB)

    Soerenssen, Aimar; Veland, Oeystein; Farbrot, Jan Erik; Kaarstad, Magnhild; Seim, Lars Aage; Foerdestroemmen, Nils; Bye, Andreas

    2001-11-15

    Alarm systems have been of major concern within complex industrial processes for many years. Within the nuclear community, the TMI accident in 1979 was the first really serious event that showed also the importance of the man-machine aspects of the systems in general, and the alarm system in particular. The OECD Halden Reactor Project has been working with alarm systems since 1974. This report is an attempt to gather some of the knowledge that has been accumulated during the years in Halden, both in research and also in bilateral projects. Bilateral projects within this field have provided a practical basis of knowledge.A major part of this report consists of a set of recommendations, which reflect HRP's current understanding of how an alarm system should work. There are also recommendations on design methods. But also other issues are included, as system development and implementation experience, and experimental knowledge on the performance of alarm systems. Some open issues are also discussed. (Author). 54 refs., 15 figs

  3. Report on RecSys 2016 Workshop on New Trends in Content-Based Recommender Systems

    DEFF Research Database (Denmark)

    Bogers, Toine; Koolen, Marijn; Mobasher, Bamshad

    2017-01-01

    This article reports on the CBRecSys 2016 workshop, the third edition of the workshop on New Trends in Content-based Recommender Systems, co-located with RecSys 2016 in Boston, MA. Content-based recommendation has been applied successfully in many different domains, but it has not seen the same...... for work dedicated to all aspects of content-based recommender systems....... level of attention as collaborative filtering techniques have. Nevertheless, there are many recommendation domains and applications where content and metadata play a key role, either in addition to or instead of ratings and implicit usage data. The CBRecSys workshop series provides a dedicated venue...

  4. Integrating health sciences library resources into course management systems.

    Science.gov (United States)

    Blevins, Amy E; Inman, Megan B

    2014-01-01

    As distance education and blended learning grows, so does the need for health sciences librarians to become involved with course management systems. This article will provide some information on how to become involved with course management systems and will also provide information on a few of the more popular systems available.

  5. Recommended revised sections to line focus solar central power systems

    Energy Technology Data Exchange (ETDEWEB)

    1978-10-18

    The design requirements, subsystem characteristics, environmental requirements, and cost and performance evaluation techniques are defined for the Line Focus Solar Central Power Systems. Specific passages revised are enumerated. (LEW)

  6. Design and Implementation of a Library and Information Science Open Access Journal Union Catalogue System

    Directory of Open Access Journals (Sweden)

    Sinn-Cheng Lin

    2017-03-01

    Full Text Available Open access is a mode of academic communication that has been on the rise in recent years, but open access academic resources are widely dispersed across the internet, making it occasionally inconvenient in terms of its use. This research is focused on library and information science, using the OAIS reference model as the system framework, two open access platform, DOAJ and E-LIS as the data sources, and through system implementation develop a “library and information science open access journal union catalogue” system. Using the OAI-PMH protocol as the data interoperability standard, and LAMP as the development environment, four major functionalities: injest, archiving, management and access of information were designed, developed, and integrated into system build. Actual testing and verification showed this system is able to successfully collect data from DOAJ and E-LIS open journal resources related to library and information science. The system is now active and functional, and can be used by researchers in the library and science information field.

  7. Simulink library project for modeling and simulation of dynamic phenomena in rotating power transmission systems

    Directory of Open Access Journals (Sweden)

    Tomasz MATYJA

    2014-06-01

    Full Text Available This paper presents the concept and an example of usage of Simulink blocks library with which dynamic simulation of complex systems with rotating shafts, rigid rotors, bearings and couplings, general rotating power transmission systems of any configuration can be performed. The assumption is that library is modular and expandable. The main part of the library currently being developed is rigid rotor model with 6 degrees of freedom of the static and dynamic imbalance. Other components are: block modeling the bearing with mounting stiffness, damping and inertia; linear elastic-damping element and rigid beam finite element (RFEM. Also in preparation are: block modeling shaft with Timoshenko beam elements and Rayleigh damping, block modeling clutch.

  8. Developing Applications in the Era of Cloud-based SaaS Library Systems

    Directory of Open Access Journals (Sweden)

    Josh Weisman

    2014-10-01

    Full Text Available As the move to cloud-based SaaS library systems accelerates, we must consider what it means to develop applications when the core of the system isn't under the library's control. The entire application lifecycle is changing, from development to testing to production. Developing applications for cloud solutions raises new concerns, such as security, multi-tenancy, latency, and analytics. In this article, we review the landscape and suggest a view of how to be successful for the benefit of library staff and end-users in this new reality. We discuss what kinds of APIs and protocols vendors should be supporting, and suggest how best to take advantage of the innovations being introduced.

  9. Classification System and Information Services in the Library of SAO RAS

    Science.gov (United States)

    Shvedova, G. S.

    The classification system used at SAO RAS is described. It includes both special determinants from UDC (Universal Decimal Classification) and newer tables with astronomical terms from the Library-Bibliographical Classification (LBC). The classification tables are continually modified, and new astronomical terms are introduced. At the present time the information services of the scientists is fulfilled with the help of the Abstract Journal Astronomy, Astronomy and Astrophysics Abstracts, catalogues and card indexes of the library. Based on our classification system and The Astronomy Thesaurus completed by R.M. Shobbrook and R.R. Shobbrook the development of a database for the library has been started, which allows prompt service of the observatory's staff members.

  10. Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System

    Directory of Open Access Journals (Sweden)

    Ronaldo Lima Rocha Campos

    2012-07-01

    Full Text Available This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.

  11. The Impact of Comments and Recommendation System on Online Shopper Buying Behaviour

    OpenAIRE

    De Hui Chen

    2012-01-01

    The author aims at studying the influence of comments and recommendation on online shopping behaviours. With 285 study subjects, the author used experimental research design to study comments and recommendation system on online shopping experience, online shopping satisfaction, online shopping intention and items chosen. The data is analyzed by SPSS 15.0 and LISREL 8.8. The results show that comments and recommendation influence online shopping experience, online shopping satisfaction and onl...

  12. Recommended Guidelines for NERC CIP Compliance for Synchrophasor Systems

    Energy Technology Data Exchange (ETDEWEB)

    Mix, Scott R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Kirkham, Harold [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Silverstein, Alison [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2017-11-14

    Compliance with the NERC requirements for Critical Infrastructure Protection (CIP) for synchrophasor systems in the Version 5 paradigm seems to be a matter of some uncertainty for those in the synchrophasor user community. This report aims to provide clarification and guidance in the form of case studies based on methods seen in the industry

  13. On mixture model complexity estimation for music recommender systems

    NARCIS (Netherlands)

    Balkema, W.; van der Heijden, Ferdinand; Meijerink, B.

    2006-01-01

    Content-based music navigation systems are in need of robust music similarity measures. Current similarity measures model each song with the same model parameters. We propose methods to efficiently estimate the required number of model parameters of each individual song. First results of a study on

  14. WIPP shaft seal system parameters recommended to support compliance calculations

    Energy Technology Data Exchange (ETDEWEB)

    Hurtado, L.D.; Knowles, M.K. [Sandia National Labs., Albuquerque, NM (United States); Kelley, V.A.; Jones, T.L.; Ogintz, J.B. [INTERA Inc., Austin, TX (United States); Pfeifle, T.W. [RE/SPEC, Inc., Rapid City, SD (United States)

    1997-12-01

    The US Department of Energy plans to dispose of transuranic waste at the Waste Isolation Pilot Plant (WIPP), which is sited in southeastern New Mexico. The WIPP disposal facility is located approximately 2,150 feet (650 m) below surface in the bedded halite of the Salado Formation. Prior to initiation of disposal activities, the Department of Energy must demonstrate that the WIPP will comply with all regulatory requirements. Applicable regulations require that contaminant releases from the WIPP remain below specified levels for a period of 10,000 years. To demonstrate that the WIPP will comply with these regulations, the Department of Energy has requested that Sandia National Laboratories develop and implement a comprehensive performance assessment of the WIPP repository for the regulatory period. This document presents the conceptual model of the shaft sealing system to be implemented in performance assessment calculations conducted in support of the Compliance Certification Application for the WIPP. The model was developed for use in repository-scale calculations and includes the seal system geometry and materials to be used in grid development as well as all parameters needed to describe the seal materials. These calculations predict the hydrologic behavior of the system. Hence conceptual model development is limited to those processes that could impact the fluid flow through the seal system.

  15. Diagnosis and recommender system for some neglected tropical ...

    African Journals Online (AJOL)

    The system works for this research was based on the client/server architecture, structured as a 3-tier application. The Web browser constituted the first tier, a middleware engine using some dynamic Web content technology active server pages (ASP) constituted the middle-tier and the database was the third tier.

  16. Faculty Profile Systems: New Services and Roles for Libraries

    Science.gov (United States)

    Givens, Marlee; Macklin, Lisa A.; Mangiafico, Paolo

    2017-01-01

    Many universities have implemented faculty profile systems that capture faculty and researchers' scholarly outputs and activities. These systems usually include public profiles and tools to help find collaborators or experts. They may be used to create reports for faculty annual reviews or for promotion and tenure, or to assist faculty with…

  17. The Digital Library for Earth System Education: A Progress Report from the DLESE Program Center

    Science.gov (United States)

    Marlino, M. R.; Sumner, T. R.; Kelly, K. K.; Wright, M.

    2002-12-01

    DLESE is a community-owned and governed digital library offering easy access to high quality electronic resources about the Earth system at all educational levels. Currently in its third year of development and operation, DLESE resources are designed to support systemic educational reform, and include web-based teaching resources, tools, and services for the inclusion of data in classroom activities, as well as a "virtual community center" that supports community goals and growth. "Community-owned" and "community-governed" embody the singularity of DLESE through its unique participatory approach to both library building and governance. DLESE is guided by policy development vested in the DLESE Steering Committee, and informed by Standing Committees centered on Collections, Services, Technology, and Users, and community working groups covering a wide variety of interest areas. This presentation highlights both current and projected status of the library and opportunities for community engagement. It is specifically structured to engage community members in the design of the next version of the library release. The current Version 1.0 of the library consists of a web-accessible graphical user interface connected to a database of catalogued educational resources (approximately 3000); a metadata framework enabling resource characterization; a cataloging tool allowing community cataloging and indexing of materials; a search and discovery system allowing browsing based on topic, grade level, and resource type, and permitting keyword and controlled vocabulary-based searches; and a portal website supporting library use, community action, and DLESE partnerships. Future stages of library development will focus on enhanced community collaborative support; development of controlled vocabularies; collections building and community review systems; resource discovery integrating the National Science Education Standards and geography standards; Earth system science vocabulary

  18. When Differential Privacy Meets Randomized Perturbation: A Hybrid Approach for Privacy-Preserving Recommender System

    KAUST Repository

    Liu, Xiao

    2017-03-21

    Privacy risks of recommender systems have caused increasing attention. Users’ private data is often collected by probably untrusted recommender system in order to provide high-quality recommendation. Meanwhile, malicious attackers may utilize recommendation results to make inferences about other users’ private data. Existing approaches focus either on keeping users’ private data protected during recommendation computation or on preventing the inference of any single user’s data from the recommendation result. However, none is designed for both hiding users’ private data and preventing privacy inference. To achieve this goal, we propose in this paper a hybrid approach for privacy-preserving recommender systems by combining differential privacy (DP) with randomized perturbation (RP). We theoretically show the noise added by RP has limited effect on recommendation accuracy and the noise added by DP can be well controlled based on the sensitivity analysis of functions on the perturbed data. Extensive experiments on three large-scale real world datasets show that the hybrid approach generally provides more privacy protection with acceptable recommendation accuracy loss, and surprisingly sometimes achieves better privacy without sacrificing accuracy, thus validating its feasibility in practice.

  19. Interlibrary loan in primary access libraries: challenging the traditional view

    Science.gov (United States)

    Dudden, Rosalind Farnam; Coldren, Sue; Condon, Joyce Elizabeth; Katsh, Sara; Reiter, Catherine Morton; Roth, Pamela Lynn

    2000-01-01

    Introduction: Primary access libraries serve as the foundation of the National Network of Libraries of Medicine (NN/LM) interlibrary loan (ILL) hierarchy, yet few published reports directly address the important role these libraries play in the ILL system. This may reflect the traditional view that small, primary access libraries are largely users of ILL, rather than important contributors to the effectiveness and efficiency of the national ILL system. Objective: This study was undertaken to test several commonly held beliefs regarding ILL system use by primary access libraries. Hypotheses: Three hypotheses were developed. H1: Colorado and Wyoming primary access libraries comply with the recommended ILL guideline of adhering to a hierarchical structure, emphasizing local borrowing. H2: The closures of two Colorado Council of Medical Librarians (CCML) primary access libraries in 1996 resulted in twenty-three Colorado primary access libraries' borrowing more from their state resource library in 1997. H3: The number of subscriptions held by Colorado and Wyoming primary access libraries is positively correlated with the number of items they loan and negatively correlated with the number of items they borrow. Methods: The hypotheses were tested using the 1992 and 1997 DOCLINE and OCLC data of fifty-four health sciences libraries, including fifty primary access libraries, two state resource libraries, and two general academic libraries in Colorado and Wyoming. The ILL data were obtained electronically and analyzed using Microsoft Word 98, Microsoft Excel 98, and JMP 3.2.2. Results: CCML primary access libraries comply with the recommended guideline to emphasize local borrowing by supplying each other with the majority of their ILLs, instead of overburdening libraries located at higher levels in the ILL hierarchy (H1). The closures of two CCML primary access libraries appear to have affected the entire ILL system, resulting in a greater volume of ILL activity for the

  20. Interlibrary loan in primary access libraries: challenging the traditional view.

    Science.gov (United States)

    Dudden, R F; Coldren, S; Condon, J E; Katsh, S; Reiter, C M; Roth, P L

    2000-10-01

    Primary access libraries serve as the foundation of the National Network of Libraries of Medicine (NN/LM) interlibrary loan (ILL) hierarchy, yet few published reports directly address the important role these libraries play in the ILL system. This may reflect the traditional view that small, primary access libraries are largely users of ILL, rather than important contributors to the effectiveness and efficiency of the national ILL system. This study was undertaken to test several commonly held beliefs regarding ILL system use by primary access libraries. Three hypotheses were developed. HI: Colorado and Wyoming primary access libraries comply with the recommended ILL guideline of adhering to a hierarchical structure, emphasizing local borrowing. H2: The closures of two Colorado Council of Medical Librarians (CCML) primary access libraries in 1996 resulted in twenty-three Colorado primary access libraries' borrowing more from their state resource library in 1997. H3: The number of subscriptions held by Colorado and Wyoming primary access libraries is positively correlated with the number of items they loan and negatively correlated with the number of items they borrow. The hypotheses were tested using the 1992 and 1997 DOCLINE and OCLC data of fifty-four health sciences libraries, including fifty primary access libraries, two state resource libraries, and two general academic libraries in Colorado and Wyoming. The ILL data were obtained electronically and analyzed using Microsoft Word 98, Microsoft Excel 98, and JMP 3.2.2. CCML primary access libraries comply with the recommended guideline to emphasize local borrowing by supplying each other with the majority of their ILLs, instead of overburdening libraries located at higher levels in the ILL hierarchy (H1). The closures of two CCML primary access libraries appear to have affected the entire ILL system, resulting in a greater volume of ILL activity for the state resource library and other DOCLINE libraries higher

  1. Management approach recommendations. Earth Observatory Satellite system definition study (EOS)

    Science.gov (United States)

    1974-01-01

    Management analyses and tradeoffs were performed to determine the most cost effective management approach for the Earth Observatory Satellite (EOS) Phase C/D. The basic objectives of the management approach are identified. Some of the subjects considered are as follows: (1) contract startup phase, (2) project management control system, (3) configuration management, (4) quality control and reliability engineering requirements, and (5) the parts procurement program.

  2. Waves in Seagrass Systems: Review and Technical Recommendations

    Science.gov (United States)

    2006-11-01

    Seagrasses are marine flowering plants. They differ from macroalgae (also known as seaweed) as these do not flower but reproduce via spores. Sea...grasses also have a root and true rhizome system while macroalgae only have rhizoids. As a result, macroalgae tend to attach to hard substrates such as...Patter- son et al. (2001) showed that reproductive shoots of Z. marina are as tough as macroalgae and that, among a population, a few reproductive

  3. Recommendations to harmonize European early warning dosimetry network systems

    Science.gov (United States)

    Dombrowski, H.; Bleher, M.; De Cort, M.; Dabrowski, R.; Neumaier, S.; Stöhlker, U.

    2017-12-01

    After the Chernobyl nuclear power plant accident in 1986, followed by the Fukushima Nuclear power plant accident 25 years later, it became obvious that real-time information is required to quickly gain radiological information. As a consequence, the European countries established early warning network systems with the aim to provide an immediate warning in case of a major radiological emergency, to supply reliable information on area dose rates, contamination levels, radioactivity concentrations in air and finally to assess public exposure. This is relevant for governmental decisions on intervention measures in an emergency situation. Since different methods are used by national environmental monitoring systems to measure area dose rate values and activity concentrations, there are significant differences in the results provided by different countries. Because European and neighboring countries report area dose rate data to a central data base operated on behalf of the European Commission, the comparability of the data is crucial for its meaningful interpretation, especially in the case of a nuclear accident with transboundary implications. Only by harmonizing measuring methods and data evaluation, is the comparability of the dose rate data ensured. This publication concentrates on technical requirements and methods with the goal to effectively harmonize area dose rate monitoring data provided by automatic early warning network systems. The requirements and procedures laid down in this publication are based on studies within the MetroERM project, taking into account realistic technical approaches and tested procedures.

  4. Towards collaborative filtering recommender systems for tailored health communications.

    Science.gov (United States)

    Marlin, Benjamin M; Adams, Roy J; Sadasivam, Rajani; Houston, Thomas K

    2013-01-01

    The goal of computer tailored health communications (CTHC) is to promote healthy behaviors by sending messages tailored to individual patients. Current CTHC systems collect baseline patient "profiles" and then use expert-written, rule-based systems to target messages to subsets of patients. Our main interest in this work is the study of collaborative filtering-based CTHC systems that can learn to tailor future message selections to individual patients based explicit feedback about past message selections. This paper reports the results of a study designed to collect explicit feedback (ratings) regarding four aspects of messages from 100 subjects in the smoking cessation support domain. Our results show that most users have positive opinions of most messages and that the ratings for all four aspects of the messages are highly correlated with each other. Finally, we conduct a range of rating prediction experiments comparing several different model variations. Our results show that predicting future ratings based on each user's past ratings contributes the most to predictive accuracy.

  5. Digital Library Billing Management System Design and Implementation

    Science.gov (United States)

    Nie, Ying

    Based on the database of SQL Server, a new automated billing and management system was designed using a range of forms, menus and control room provided by VB. In this new design, WINDOWS registry and API functions ware used, as well DAO and ADO data access and other advanced means. A good interactive interface was available and users could obtain a fresh and different feeling. Demonstrated by the application, the system provided accurate and reliable function and satisfied the needs of modern managements. The system is suitable for automatic billing of colleges and internet cafes management.

  6. Designing and Developing a Novel Hybrid Adaptive Learning Path Recommendation System (ALPRS) for Gamification Mathematics Geometry Course

    Science.gov (United States)

    Su, Chung-Ho

    2017-01-01

    Since recommendation systems possess the advantage of adaptive recommendation, they have gradually been applied to e-learning systems to recommend subsequent learning content for learners. However, problems exist in current learning recommender systems available to students in that they are often general learning content and unable to offer…

  7. FY 2008 Public Libraries Survey

    Data.gov (United States)

    Institute of Museum and Library Services — Dig into FY 2008 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles...

  8. FY 2009 Public Libraries Survey

    Data.gov (United States)

    Institute of Museum and Library Services — Dig into FY 2009 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles...

  9. FY 2011 Public Libraries Survey

    Data.gov (United States)

    Institute of Museum and Library Services — Dig into FY 2011 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles...

  10. FY 2010 Public Libraries Survey

    Data.gov (United States)

    Institute of Museum and Library Services — Dig into FY 2010 data on public library systems (referred to as administrative entities in the Public Libraries Survey) and main libraries, branches, and bookmobiles...

  11. Automated Periodicals System at a Community College Library

    Directory of Open Access Journals (Sweden)

    Vivian Harp

    1974-06-01

    Full Text Available Automated systems need not be extensive to save time and improve efficiency. Moraine Valley's off-line operation, based on a file of 715 periodical titles, generates renewal orders, sends claims, and records subscription histories.

  12. Creating the Future: A 2020 Vision and Plan for Library Service in New York State. Recommendations of the New York State Regents Advisory Council on Libraries to the New York State Board of Regents

    Science.gov (United States)

    New York State Education Department, 2016

    2016-01-01

    In April 2010, the New York State Board of Regents challenged the library community to rethink the State's vast array of library services to ensure that they are aligned with modern expectations and the expanded functions needed in today's society, operate with improved efficiency, and are prepared for the future as an essential and vibrant part…

  13. 2006 Automation Survey: The Systems Are Changing. But School Libraries Aren't

    Science.gov (United States)

    Fuller, Daniel

    2006-01-01

    This article presents the findings of the 2006 School Library Journal-San Jose State University Automation Survey. The study takes a close look at the systems that media specialists are using, how they are using them, and what librarians want from their future automation programs. The findings reveal that while respondents were satisfied with…

  14. Evaluation of using expert system features in information retrieval in Iranian digital library software

    Directory of Open Access Journals (Sweden)

    Farzad Shahbazi

    2015-05-01

    Originality/Value: The research prepared a checklist for evaluation of Digital Library software’s in expert systems context. Also the funded results can be helpful for the software providers to resolve the weakness and reinforce the strengths of software’s.

  15. The Heinz Electronic Library Interactive On-line System (HELIOS): An Update.

    Science.gov (United States)

    Galloway, Edward A.; Michalek, Gabrielle V.

    1998-01-01

    Describes a project at Carnegie Mellon University libraries to convert the congressional papers of the late Senator John Heinz to digital format and to create an online system to search and retrieve these papers. Highlights include scanning, optical character recognition, and a search engine utilizing natural language processing. (Author/LRW)

  16. The design of a web – based integrated library system with internet ...

    African Journals Online (AJOL)

    Developing countries like Nigeria face series of defects in developing, managing and securing an Integrated Library System (ILS) in tertiary institutions and Secondary Schools where they are mostly needed. ILSs face issues such as non – interactive, speed, cost, unavailability of experienced users and programmers and ...

  17. A Complex Systems Framework for Research on Leadership and Organizational Dynamics in Academic Libraries

    Science.gov (United States)

    Gilstrap, Donald L.

    2009-01-01

    This article provides a historiographical analysis of major leadership and organizational development theories that have shaped our thinking about how we lead and administrate academic libraries. Drawing from behavioral, cognitive, systems, and complexity theories, this article discusses major theorists and research studies appearing over the past…

  18. Millennial Undergraduate Research Strategies in Web and Library Information Retrieval Systems

    Science.gov (United States)

    Porter, Brandi

    2011-01-01

    This article summarizes the author's dissertation regarding search strategies of millennial undergraduate students in Web and library online information retrieval systems. Millennials bring a unique set of search characteristics and strategies to their research since they have never known a world without the Web. Through the use of search engines,…

  19. ThermoCycle: A Modelica library for the simulation of thermodynamic systems

    DEFF Research Database (Denmark)

    Quoilin, Sylvain; Desideri, Adriano; Wronski, Jorrit

    2014-01-01

    This paper presents the results of an on-going project to develop ThermoCycle, an open Modelica library for the simulation of low-capacity thermodynamic cycles and thermal systems. Special attention is paid to robustness and simulation speed since dynamic simulations are often limited by numerical...... constraints and failures, either during initialization or during integration. Furthermore, the use of complex equations of state (EOS) to compute thermodynamic properties significantly decreases the simulation speed. In this paper, the approach adopted in the library to overcome these challenges is presented...

  20. “Clicking” with your audience: Evaluating the use of personal response systems in library instruction

    Directory of Open Access Journals (Sweden)

    Emily K. Chan

    2011-03-01

    Full Text Available University of the Pacific librarians used personal response systems (PRS or clickers in first-year mandatory library instructional sessions to assess their effects on student engagement and retention of learning outcomes. Students who utilized clickers during their library session reported greater enjoyment and encouragement to participate (n=291. Students in the sessions not utilizing the clickers achieved better learning outcomes than their counterparts who utilized clickers (n=326. The implications of these results are discussed, specifically within the context of pedagogy and tailoring instruction to the Millennial generation.

  1. Redundancies in Data and their Effect on the Evaluation of Recommendation Systems

    DEFF Research Database (Denmark)

    Basaran, Daniel; Ntoutsi, Eirini; Zimek, Arthur

    2017-01-01

    A collection of datasets crawled from Amazon, “Amazon reviews”, is popular in the evaluation of recommendation systems. These datasets, however, contain redundancies (duplicated recommendations for variants of certain items). These redundancies went unnoticed in earlier use of these datasets...

  2. The Impact of Recommender Systems on Item-, User-, and Rating-Diversity

    NARCIS (Netherlands)

    Kowalczyk, W.J.; Szlavik, Z.; Schut, M.C.

    2012-01-01

    Recommender systems are increasingly used for personalised navigation through large amounts of information, especially in the e-commerce domain for product purchase advice. Whilst much research effort is spent on developing recommenders further, there is little to no effort spent on analysing the

  3. SemCiR: A Citation Recommendation System Based on a Novel Semantic Distance Measure

    Science.gov (United States)

    Zarrinkalam, Fattane; Kahani, Mohsen

    2013-01-01

    Purpose: The purpose of this paper is to propose a novel citation recommendation system that inputs a text and recommends publications that should be cited by it. Its goal is to help researchers in finding related works. Further, this paper seeks to explore the effect of using relational features in addition to textual features on the quality of…

  4. Towards Small-Sized Long Tail Business with the Dual-Directed Recommendation System

    Science.gov (United States)

    Takahashi, Masakazu; Yamada, Takashi; Tsuda, Kazuhiko; Terano, Takao

    This paper describes a novel architecture to promote retail businesses using information recommendation systems. The main features of the architecture are 1) Dual-directed Recommendation system, 2) Portal site for three kinds of users: Producers, Retailers, and Consumers, which are considered to be Prosumers, and 3) Agent-based implementation. We have developed a web-based system DAIKOC (Dynamic Advisor for Information and Knowledge Oriented Communities) with the above architecture. In this paper, we focus on the recommendation functions to extract the items that will achieve the large sales in the future from the ID (IDentification)-POS (Point-Of-Sales) data.

  5. User profile modeling for building recommendation systems: a theoretical study and state of the art

    Directory of Open Access Journals (Sweden)

    BARTH, F. J.

    2010-12-01

    Full Text Available The goal of this tutorial is to describe and synthesize the concepts and techniques used in the design of recommendation systems that can deal with user profiles. The development of such recommendation systems requires solutions of two sub problems: (i the creation and maintenance of user profile, and; (ii the appropriate use of user profiles. This work is a theoretical tutorial on this subject. This is a useful text for people who are interested in the theoretical foundations of modeling user profile and recommendation systems. This text presents illustrative diagrams that summarize the main components used in the modeling of user profiles

  6. Effect of Collaborative Recommender System Parameters: Common Set Cardinality and the Similarity Measure

    Directory of Open Access Journals (Sweden)

    Mohammad Yahya H. Al-Shamri

    2016-01-01

    Full Text Available Recommender systems are widespread due to their ability to help Web users surf the Internet in a personalized way. For example, collaborative recommender system is a powerful Web personalization tool for suggesting many useful items to a given user based on opinions collected from his neighbors. Among many, similarity measure is an important factor affecting the performance of the collaborative recommender system. However, the similarity measure itself largely depends on the overlapping between the user profiles. Most of the previous systems are tested on a predefined number of common items and neighbors. However, the system performance may vary if we changed these parameters. The main aim of this paper is to examine the performance of the collaborative recommender system under many similarity measures, common set cardinalities, rating mean groups, and neighborhood set sizes. For this purpose, we propose a modified version for the mean difference weight similarity measure and a new evaluation metric called users’ coverage for measuring the recommender system ability for helping users. The experimental results show that the modified mean difference weight similarity measure outperforms other similarity measures and the collaborative recommender system performance varies by varying its parameters; hence we must specify the system parameters in advance.

  7. Design and Development of a University E-Library System in Turkey: A Case from Dicle University

    Directory of Open Access Journals (Sweden)

    Murat YALMAN

    2014-08-01

    Full Text Available Services provided for students in traditional libraries at universities have been renovated in line with the development of technology. Therefore, today libraries are not evaluated with their sizes of places but with the variety and abundance of sources found in libraries. In terms of current educational activities, it is fairly important for universities to structure and renovate their libraries. The reason is that learning is now independent of place and time. The spread of the Internet and of Internet technologies and the increase in the number of Internet users make e-library obligatory and unavoidable. Therefore, universities should internalize the concept of e-library and take electronic library into consideration while restructuring their library services. The present study tried to determine how to carry out an e-library design in accordance with the library services of universities. In this process, the overall purpose was to determine the needs by examining the user interface of the webpage designed, its interface features, its differences, ease of its use, its clarity for users to understand and the pros and cons of the system. In this way, universities using e-library are believed to provide their students with better services by increasing their quality of education.

  8. The evolution of secondary organization in immune system gene libraries

    Energy Technology Data Exchange (ETDEWEB)

    Hightower, R.; Forrest, S. [New Mexico Univ., Albuquerque, NM (United States). Dept. of Computer Science; Perelson, A.S. [Los Alamos National Lab., NM (United States)

    1993-02-01

    A binary model of the immune system is used to study the effects of evolution on the genetic encoding for antibody molecules. We report experiments which show that the evolution of immune system genes, simulated by the genetic algorithm, can induce a high degree of genetic organization even though that organization is not explicitly required by the fitness function. This secondary organization is related to the true fitness of an individual, in contrast to the sampled fitness which is the explicit fitness measure used to drive the process of evolution.

  9. PRUB: A Privacy Protection Friend Recommendation System Based on User Behavior

    Directory of Open Access Journals (Sweden)

    Wei Jiang

    2016-01-01

    Full Text Available The fast developing social network is a double-edged sword. It remains a serious problem to provide users with excellent mobile social network services as well as protecting privacy data. Most popular social applications utilize behavior of users to build connection with people having similar behavior, thus improving user experience. However, many users do not want to share their certain behavioral information to the recommendation system. In this paper, we aim to design a secure friend recommendation system based on the user behavior, called PRUB. The system proposed aims at achieving fine-grained recommendation to friends who share some same characteristics without exposing the actual user behavior. We utilized the anonymous data from a Chinese ISP, which records the user browsing behavior, for 3 months to test our system. The experiment result shows that our system can achieve a remarkable recommendation goal and, at the same time, protect the privacy of the user behavior information.

  10. Discover Earth: An earth system science program for libraries and their communities

    Science.gov (United States)

    Curtis, L.; Dusenbery, P.

    2010-12-01

    The view from space has deepened our understanding of Earth as a global, dynamic system. Instruments on satellites and spacecraft, coupled with advances in ground-based research, have provided us with astonishing new perspectives of our planet. Now more than ever, enhancing the public’s understanding of Earth’s physical and biological systems is vital to helping citizens make informed policy decisions especially when they are faced with the consequences of global climate change. In spite of this relevance, there are many obstacles to achieving broad public understanding of key earth system science (ESS) concepts. Strategies for addressing climate change can only succeed with the full engagement of the general public. As reported by U.S. News and World Report in 2010, small towns in rural America are emerging as the front line in the climate change debate in the country. The Space Science Institute’s National Center for Interactive Learning (NCIL) in partnership with the American Library Association (ALA), the Lunar and Planetary Institute (LPI), and the National Girls Collaborative Project (NGCP) have received funding from NSF to develop a national project called the STAR Library Education Network: a hands-on learning program for libraries and their communities (or STAR-Net for short). STAR stands for Science-Technology, Activities and Resources. There are two distinct components of STAR-Net: Discover Earth and Discover Tech. While the focus for education reform is on school improvement, there is considerable research that supports the role that out-of-school experiences can play in student achievement. Libraries provide an untapped resource for engaging underserved youth and their families in fostering an appreciation and deeper understanding of science and technology topics. The overarching goal of the project is to reach underserved youth and their families with informal STEM learning experiences. The Discover Earth part of STAR_Net will produce ESS

  11. Consumers’ intention to use health recommendation systems to receive personalized nutrition advice

    Science.gov (United States)

    2013-01-01

    Background Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. Methods 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. Results We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. Conclusions We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to

  12. Consumers' intention to use health recommendation systems to receive personalized nutrition advice.

    Science.gov (United States)

    Wendel, Sonja; Dellaert, Benedict G C; Ronteltap, Amber; van Trijp, Hans C M

    2013-04-04

    Sophisticated recommendation systems are used more and more in the health sector to assist consumers in healthy decision making. In this study we investigate consumers' evaluation of hypothetical health recommendation systems that provide personalized nutrition advice. We examine consumers' intention to use such a health recommendation system as a function of options related to the underlying system (e.g. the type of company that generates the advice) as well as intermediaries (e.g. general practitioner) that might assist in using the system. We further explore if the effect of both the system and intermediaries on intention to use a health recommendation system are mediated by consumers' perceived effort, privacy risk, usefulness and enjoyment. 204 respondents from a consumer panel in the Netherlands participated. The data were collected by means of a questionnaire. Each respondent evaluated three hypothetical health recommendation systems on validated multi-scale measures of effort, privacy risk, usefulness, enjoyment and intention to use the system. To test the hypothesized relationships we used regression analyses. We find evidence that the options related to the underlying system as well as the intermediaries involved influence consumers' intention to use such a health recommendation system and that these effects are mediated by perceptions of effort, privacy risk, usefulness and enjoyment. Also, we find that consumers value usefulness of a system more and enjoyment less when a general practitioner advices them to use a health recommendation system than if they use it out of their own curiosity. We developed and tested a model of consumers' intention to use a health recommendation system. We found that intermediaries play an important role in how consumers evaluate such a system over and above options of the underlying system that is used to generate the recommendation. Also, health-related information services seem to rely on endorsement by the medical sector

  13. Concept Systems and Ontologies: Recommendations for Basic Terminology

    Science.gov (United States)

    Klein, Gunnar O.; Smith, Barry

    This essay concerns the problems surrounding the use of the term ``concept'' in current ontology and terminology research. It is based on the constructive dialogue between realist ontology on the one hand and the world of formal standardization of health informatics on the other, but its conclusions are not restricted to the domain of medicine. The term ``concept'' is one of the most misused even in literature and technical standards which attempt to bring clarity. In this paper we propose to use the term ``concept'' in the context of producing defined professional terminologies with one specific and consistent meaning which we propose for adoption as the agreed meaning of the term in future terminological research, and specifically in the development of formal terminologies to be used in computer systems. We also discuss and propose new definitions of a set of cognate terms. We describe the relations governing the realm of concepts, and compare these to the richer and more complex set of relations obtaining between entities in the real world. On this basis we also summarize an associated terminology for ontologies as representations of the real world and a partial mapping between the world of concepts and the world of reality.

  14. Concept Systems and Ontologies: Recommendations for Basic Terminology.

    Science.gov (United States)

    Klein, Gunnar O; Smith, Barry

    2010-01-01

    This essay concerns the problems surrounding the use of the term "concept" in current ontology and terminology research. It is based on the constructive dialogue between realist ontology on the one hand and the world of formal standardization of health informatics on the other, but its conclusions are not restricted to the domain of medicine. The term "concept" is one of the most misused even in literature and technical standards which attempt to bring clarity. In this paper we propose to use the term "concept" in the context of producing defined professional terminologies with one specific and consistent meaning which we propose for adoption as the agreed meaning of the term in future terminological research, and specifically in the development of formal terminologies to be used in computer systems. We also discuss and propose new definitions of a set of cognate terms. We describe the relations governing the realm of concepts, and compare these to the richer and more complex set of relations obtaining between entities in the real world. On this basis we also summarize an associated terminology for ontologies as representations of the real world and a partial mapping between the world of concepts and the world of reality.

  15. Long-term Mechanical Circulatory Support System reliability recommendation by the National Clinical Trial Initiative subcommittee.

    Science.gov (United States)

    Lee, James

    2009-01-01

    The Long-Term Mechanical Circulatory Support (MCS) System Reliability Recommendation was published in the American Society for Artificial Internal Organs (ASAIO) Journal and the Annals of Thoracic Surgery in 1998. At that time, it was stated that the document would be periodically reviewed to assess its timeliness and appropriateness within 5 years. Given the wealth of clinical experience in MCS systems, a new recommendation has been drafted by consensus of a group of representatives from the medical community, academia, industry, and government. The new recommendation describes a reliability test methodology and provides detailed reliability recommendations. In addition, the new recommendation provides additional information and clinical data in appendices that are intended to assist the reliability test engineer in the development of a reliability test that is expected to give improved predictions of clinical reliability compared with past test methods. The appendices are available for download at the ASAIO journal web site at www.asaiojournal.com.

  16. Embedded Library Guides in Learning Management Systems Help Students Get Started on Research Assignments

    Directory of Open Access Journals (Sweden)

    Dominique Daniel

    2016-03-01

    Full Text Available Objective – To determine whether library guides embedded in learning management systems (LMS get used by students, and to identify best practices for the creation and promotion of these guides by librarians. Design – Mixed methods combining quantitative and qualitative data collection and analysis (survey, interviews, and statistical analysis. Setting – A large public university in the United States of America. Subjects – 100 undergraduate students and 14 librarians. Methods – The researchers surveyed undergraduate students who were participating in a Project Information Literacy study about their use of library guides in the learning management system (LMS for a given quarter. At that university, all course pages in the LMS are automatically assigned a library guide. In addition, web usage data about the course-embedded guides was analyzed and high use guides were identified, namely guides that received an average of at least two visits per student enrolled in a course. The researchers also conducted a qualitative analysis of the layout of the high use guides, including the number of widgets (or boxes and links. Finally, librarians who created high use library guides were interviewed. These mixed methods were designed to address four research questions: 1 Were students finding the guides in the LMS, and did they find the guides useful? 2 Did high use guides differ in design and composition? 3 Were the guides designed for a specific course, or for an entire department or college? and, 4 How did the librarians promote use? Main Results – Only 33% of the students said they noticed the library guide in the LMS course page, and 21% reported using the guide. Among those who used the guide, the majority were freshmen (possibly because embedding of library guides in the LMS had just started at the university. Library guides with high use in relation to class enrollment did not significantly differ from low use guides in terms of numbers of

  17. Personal recommender systems for learners in lifelong learning: requirements, techniques and model

    NARCIS (Netherlands)

    Drachsler, Hendrik; Hummel, Hans; Koper, Rob

    2007-01-01

    Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in lifelong learning: requirements, techniques and model. International Journal of Learning Technology, 3(4), 404-423.

  18. Design Context Aware Activity Recommender System for Iranian Customer Mind Activism in Online Shopping

    National Research Council Canada - National Science Library

    Saber Pahlavan; Morteza Hajizadeh; Adel Azadkhah; Ali Ansarifard

    2013-01-01

    ... focus on Iranian customer mind activism in online shopping. This system makes its recommendations for user based on behavior and activities of her friends in the same situation in social network...

  19. Cold-Start recommender system problem within a multidimensional data warehouse

    OpenAIRE

    Negre, Elsa; Ravat, Franck; Teste, Olivier; Tournier, Ronan

    2013-01-01

    International audience; Data warehouses store large volumes of consolidated and historized multidimensional data for analysis and exploration by decision-makers. Exploring data is an incremental OLAP (On-Line Analytical Processing) query process for searching relevant information in a dataset. In order to ease user exploration, recommender systems are used. However when facing a new system, such recommendations do not operate anymore. This is known as the cold-start problem. In this paper, we...

  20. Spinach - A software library for simulation of spin dynamics in large spin systems

    Science.gov (United States)

    Hogben, H. J.; Krzystyniak, M.; Charnock, G. T. P.; Hore, P. J.; Kuprov, Ilya

    2011-02-01

    We introduce a software library incorporating our recent research into efficient simulation algorithms for large spin systems. Liouville space simulations (including symmetry, relaxation and chemical kinetics) of most liquid-state NMR experiments on 40+ spin systems can now be performed without effort on a desktop workstation. Much progress has also been made with improving the efficiency of ESR, solid state NMR and Spin Chemistry simulations. Spinach is available for download at http://spindynamics.org.

  1. Selecting a Web Content Management System for an Academic Library Website

    Directory of Open Access Journals (Sweden)

    Elizabeth L. Black

    2011-12-01

    Full Text Available This article describes the selection of a web content management system (CMS at the Ohio State University Libraries. The author outlines the need for a CMS, describes the system requirements to support a large distributed content model and shares the CMS trial method used, which directly included content provider feedback side-by-side with the technical experts. The selected CMS is briefly described.

  2. User Characteristics、User Involvement and Technology Acceptance in Library Automation System Usage

    Directory of Open Access Journals (Sweden)

    Piching Chu

    2002-12-01

    Full Text Available This paper looks into the relationship of user characteristics, user involvement and technology acceptance, also try to find the relationship of the above three variables and library automation system usage. By interview and questionnaire study, the results are described, according to the analysis of the relative literature and the main conclusions, the researcher offers some suggestions for improving the system usage.[Article content in Chinese

  3. The Open Library System — Re-invented, Implemented and Working

    Directory of Open Access Journals (Sweden)

    Jens Hofman Hansen

    2011-02-01

    Full Text Available A highly modularised and open system is described in this paper, and its ability to support the library’s strategy. By focusing on a single problem, it is possible to solve it in a qualitatively or quantitatively different way that is dictated by business vision and user needs. This results in a highly innovative library system when seen as a whole.

  4. A Study of Assessment of Library E-resource Metasearch System

    Directory of Open Access Journals (Sweden)

    Fan-Chuan Tseng

    2008-12-01

    Full Text Available As the emergent development of computer and network technology, digital library and information service has become an important approach for users to increase their academic as well as job performance due to the authorized, accurate, and reliable information. In the realm of information management, the exploration of factors influencing information system utilization and the evaluation of benefits are two critical issues. However, related studies focus more on the system functions and usually ignore the effects of individual cognition and social influence. In this study, we extend the IS success model with two additional factors-self-efficacy and subjective norm, trying to explore the potential influences on digital library usage, user satisfaction and performance.This research takes the Chang Jung Christian University library E-resources Metasearch system as the case study. A questionnaire was developed and finally got 160 useful student samples to test and verify the hypotheses. The research results confirmed that self-efficacy and subjective norm can significantly affect the usage of E-resource Metasearch System. Subsequently, the users feel satisfied with the system, and increase their academic performance. Finally, we provide discussion, implications and suggestions in two aspects – cooperating more with educational programs to increase users’ information literacy, and improving the customer-oriented system interface, functions, and services to enhance its quality. [Article content in Chinese

  5. Simulating light-weight Personalised Recommender Systems in Learning Networks: A case for Pedagogy-Oriented and Rating-based Hybrid Recommendation Strategies

    NARCIS (Netherlands)

    Nadolski, Rob; Van den Berg, Bert; Berlanga, Adriana; Drachsler, Hendrik; Hummel, Hans; Koper, Rob; Sloep, Peter

    2008-01-01

    Nadolski, R. J., Van den Berg, B., Berlanga, A. J., Drachsler, H., Hummel, H. G. K., Koper, R., & Sloep, P. B. (2009). Simulating Light-Weight Personalised Recommender Systems in Learning Networks: A Case for Pedagogy-Oriented and Rating-Based Hybrid Recommendation Strategies. Journal of Artificial

  6. Using Recommendation System for E-learning Environments at degree level

    Directory of Open Access Journals (Sweden)

    Rubén González Crespo

    2009-12-01

    Full Text Available Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kind of people, raising new challenges to education when using Internet as a medium. One of the best examples is how to guide students in their learning processes.The need to look for guidance from their teachers or other companions that many Internet users experience when endeavoring to choose their readings, exercises o practices is a very common reality. In order to cater for this need many different information and recommendation strategies have been developed. Recommendation Systems is one of these.Recommendation Systems try to help the user, presenting him those objects he could be more interested in, based on his known preferences or on those of other users with similar characteristics.This document tries to present the current situation with regards to Recommendation Systems and their application on distance education over the Internet.

  7. [GRADE system: classification of quality of evidence and strength of recommendation].

    Science.gov (United States)

    Aguayo-Albasini, José Luis; Flores-Pastor, Benito; Soria-Aledo, Víctor

    2014-02-01

    The acquisition and classification of scientific evidence, and subsequent formulation of recommendations constitute the basis for the development of clinical practice guidelines. There are several systems for the classification of evidence and strength of recommendations; the most commonly used nowadays is the Grading of Recommendations, Assessment, Development and Evaluation system (GRADE). The GRADE system initially classifies the evidence into high or low, coming from experimental or observational studies; subsequently and following a series of considerations, the evidence is classified into high, moderate, low or very low. The strength of recommendations is based not only on the quality of the evidence, but also on a series of factors such as the risk/benefit balance, values and preferences of the patients and professionals, and the use of resources or costs. Copyright © 2013 AEC. Published by Elsevier Espana. All rights reserved.

  8. Managing ebook metadata in academic libraries taming the tiger

    CERN Document Server

    Frederick, Donna E

    2016-01-01

    Managing ebook Metadata in Academic Libraries: Taming the Tiger tackles the topic of ebooks in academic libraries, a trend that has been welcomed by students, faculty, researchers, and library staff. However, at the same time, the reality of acquiring ebooks, making them discoverable, and managing them presents library staff with many new challenges. Traditional methods of cataloging and managing library resources are no longer relevant where the purchasing of ebooks in packages and demand driven acquisitions are the predominant models for acquiring new content. Most academic libraries have a complex metadata environment wherein multiple systems draw upon the same metadata for different purposes. This complexity makes the need for standards-based interoperable metadata more important than ever. In addition to complexity, the nature of the metadata environment itself typically varies slightly from library to library making it difficult to recommend a single set of practices and procedures which would be releva...

  9. Information filtering in sparse online systems: recommendation via semi-local diffusion.

    Science.gov (United States)

    Zeng, Wei; Zeng, An; Shang, Ming-Sheng; Zhang, Yi-Cheng

    2013-01-01

    With the rapid growth of the Internet and overwhelming amount of information and choices that people are confronted with, recommender systems have been developed to effectively support users' decision-making process in the online systems. However, many recommendation algorithms suffer from the data sparsity problem, i.e. the user-object bipartite networks are so sparse that algorithms cannot accurately recommend objects for users. This data sparsity problem makes many well-known recommendation algorithms perform poorly. To solve the problem, we propose a recommendation algorithm based on the semi-local diffusion process on the user-object bipartite network. The simulation results on two sparse datasets, Amazon and Bookcross, show that our method significantly outperforms the state-of-the-art methods especially for those small-degree users. Two personalized semi-local diffusion methods are proposed which further improve the recommendation accuracy. Finally, our work indicates that sparse online systems are essentially different from the dense online systems, so it is necessary to reexamine former algorithms and conclusions based on dense data in sparse systems.

  10. Applying Systems Thinking to Law Enforcement Safety: Recommendation for a Comprehensive Safety Management Framework

    Science.gov (United States)

    2015-12-01

    THINKING TO LAW ENFORCEMENT SAFETY: RECOMMENDATION FOR A COMPREHENSIVE SAFETY MANAGEMENT FRAMEWORK by Maggie A. DeBoard December 2015...2. REPORT DATE December 2015 3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE APPLYING SYSTEMS THINKING TO LAW...deaths, systems thinking , safety management systems, risk management, fire safety officer, after-action review, firefighter culture, OSHA

  11. Awareness and use of the Essential Electronic Agricultural Library ...

    African Journals Online (AJOL)

    The study recommends that the library should focus on user orientation and training on effective use of e-databases, awareness and orientation should be a continuous effort, and libraries should think outside the box and find an alternative source of power supply such as a standby generator, inverter or solar energy system ...

  12. Shilling Attack Prevention for Recommender Systems Using Social-based Clustering

    KAUST Repository

    Lee, Tak

    2011-06-06

    A Recommender System (RS) is a system that utilizes user and item information to predict the feeling of users towards unfamiliar items. Recommender Systems have become popular tools for online stores due to their usefulness in confidently recommending items to users. A popular algorithm for recommender system is Collaborative Filtering (CF). CF uses other users\\' profiles to predict whether a user is interested in a particular object. This system, however, is vulnerable to malicious users seeking to promote items by manipulating rating predictions with fake user profiles. Profiles with behaviors similar to "victim" users alter the prediction of a Recommender System. Manipulating rating predictions through injected profiles is referred to as a shilling attack. It is important to develop shilling attack prevention frameworks for to protect the trustworthiness of Recommender Systems. In this thesis, we will demonstrate a new methodology that utilizes social information to prevent malicious users from manipulating the prediction system. The key element in our new methodology rests upon the concept of trust among real users, an element we claim absent among malicious profiles. In order to use trust information for shilling attack prevention, we first develop a weighting system which makes the system rely more on trustworthy users when making predictions. We then use this trust information to cluster out untrustworthy users to improve rating robustness. The robustness of the new and classic systems is then evaluated with data from a public commercial consumer RS, Epinions.com. Several complexity reduction procedures are also introduced to make implementing the algorithms mentioned possible for a huge commercial database.

  13. Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media

    Directory of Open Access Journals (Sweden)

    Basma AlBanna

    2016-12-01

    Full Text Available Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs and to the emergence of a newer class called Location-Based Social Networks (LBSNs. While LBSNs are richer in their model and functions than SNs, they fail so far to attract as many users as SNs. On the other hand, SNs have large amounts of geo-tagged media that are under-utilized. In this paper, we propose an Interest-Aware Location-Based Recommender system (IALBR, which combines the advantages of both LBSNs and SNs, in order to provide interest-aware location-based recommendations. This recommender system is proposed as an extension to LBSNs. It is novel in: (1 utilizing the geo-content in both LBSNs and SNs; (2 ranking the recommendations based on a novel scoring method that maps to the user interests. It also works for passive users who are not active content contributors to the LBSN. This feature is critical to increase the number of LBSN users. Moreover, it helps with reducing the cold start problem, which is a common problem facing the new users of recommender systems who get random unsatisfying recommendations. This is due to the lack of user interest awareness, which is reliant on user history in most of the recommenders. We evaluated our system with a large-scale real dataset collected from foursquare with respect to precision, recall and the f-measure. We also compared the results with a ground truth system using metrics like the normalized discounted cumulative gain and the mean absolute error. The results confirm that the proposed IALBR generates more efficient recommendations than baselines in terms of interest awareness.

  14. Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction

    Directory of Open Access Journals (Sweden)

    Khalid Haruna

    2017-12-01

    Full Text Available Intelligent data handling techniques are beneficial for users; to store, process, analyze and access the vast amount of information produced by electronic and automated devices. The leading approach is to use recommender systems (RS to extract relevant information from the vast amount of knowledge. However, early recommender systems emerged without the cognizance to contextualize information regarding users’ recommendations. Considering the historical methodological limitations, Context-Aware Recommender Systems (CARS are now deployed, which leverage contextual information in addition to the classical two-dimensional search processes, providing better-personalized user recommendations. This paper presents a review of recent developmental processes as a fountainhead for the research of a context-aware recommender system. This work contributes by taking an integrated approach to the complete CARS developmental process, unlike other review papers, which only address a specific aspect of the CARS process. First, an in-depth review is presented pertaining to the state-of-the-art and classified literature, considering the domain of the application models, filters, extraction and evaluation approaches. Second, viewpoints are presented relating to the extraction of literature with analysis on the merit and demerit of each, and the evolving processes between them. Finally, the outstanding challenges and opportunities for future research directions are highlighted.

  15. The Carnegie Mellon University Library Information System (LIS): Applications within the Software Engineering Institute (SEI) Online Environment.

    Science.gov (United States)

    Tinsley, G. Lynn; Yourison, Karola M.

    1993-01-01

    Describes features of the Library Information System (LIS) at Carnegie Mellon University and discusses how LIS is utilized by the Software Engineering Institute (SEI) library staff and patrons. Highlights include a history of the LIS, electronic mail applications, online request forms, and current awareness services. (six references) (LRW)

  16. Implementation of an Open Source Library Management System: Experiences with Koha 3.0 at the Royal London Homoeopathic Hospital

    Science.gov (United States)

    Bissels, Gerhard

    2008-01-01

    Purpose: The purpose of this paper is to describe the selection process and criteria that led to the implementation of the Koha 3.0 library management system (LMS) at the Complementary and Alternative Medicine Library and Information Service (CAMLIS), Royal London Homoeopathic Hospital. Design/methodology/approach: The paper is a report based on…

  17. Opinion-enhanced collaborative filtering for recommender systems through sentiment analysis

    Science.gov (United States)

    Wang, Wei; Wang, Hongwei

    2015-10-01

    The motivation of collaborative filtering (CF) comes from the idea that people often get the best recommendations from someone with similar tastes. With the growing popularity of opinion-rich resources such as online reviews, new opportunities arise as we can identify the preferences from user opinions. The main idea of our approach is to elicit user opinions from online reviews, and map such opinions into preferences that can be understood by CF-based recommender systems. We divide recommender systems into two types depending on the number of product category recommended: the multiple-category recommendation and the single-category recommendation. For the former, sentiment polarity in coarse-grained manner is identified while for the latter fine-grained sentiment analysis is conducted for each product aspect. If the evaluation frequency for an aspect by a user is greater than the average frequency by all users, it indicates that the user is more concerned with that aspect. If a user's rating for an aspect is lower than the average rating by all users, he or she is much pickier than others on that aspect. Through sentiment analysis, we then build an opinion-enhanced user preference model, where the higher the similarity between user opinions the more consistent preferences between users are. Experiment results show that the proposed CF algorithm outperforms baseline methods for product recommendation in terms of accuracy and recall.

  18. West Virginia: Library Automation.

    Science.gov (United States)

    Brown, Thomas M., Ed.

    1996-01-01

    Reviews library automation efforts in West Virginia. Topics include information equity and rural areas, library systems and resource sharing, statewide connectivity, a higher education telecomputing network that has expanded to include elementary and secondary school libraries, multitype library cooperation and staff training, and academic library…

  19. Improving Recommendations in Tag-based Systems with Spectral Clustering of Tag Neighbors

    DEFF Research Database (Denmark)

    Pan, Rong; Xu, Guandong; Dolog, Peter

    2012-01-01

    Tag as a useful metadata reflects the collaborative and conceptual features of documents in social collaborative annotation systems. In this paper, we propose a collaborative approach for expanding tag neighbors and investigate the spectral clustering algorithm to filter out noisy tag neighbors...... in order to get appropriate recommendation for users. The preliminary experiments have been conducted on MovieLens dataset to compare our proposed approach with the traditional collaborative filtering recommendation approach and naive tag neighbors expansion approach in terms of precision, and the result...... demonstrates that our approach could considerably improve the performance of recommendations....

  20. A scalable and practical one-pass clustering algorithm for recommender system

    Science.gov (United States)

    Khalid, Asra; Ghazanfar, Mustansar Ali; Azam, Awais; Alahmari, Saad Ali

    2015-12-01

    KMeans clustering-based recommendation algorithms have been proposed claiming to increase the scalability of recommender systems. One potential drawback of these algorithms is that they perform training offline and hence cannot accommodate the incremental updates with the arrival of new data, making them unsuitable for the dynamic environments. From this line of research, a new clustering algorithm called One-Pass is proposed, which is a simple, fast, and accurate. We show empirically that the proposed algorithm outperforms K-Means in terms of recommendation and training time while maintaining a good level of accuracy.

  1. Application of Recommended Design Practices for Conceptual Nuclear Fusion Space Propulsion Systems

    Science.gov (United States)

    Williams, Craig H.

    2004-01-01

    An AIAA Special Project Report was recently produced by AIAA's Nuclear and Future Flight Propulsion Technical Committee and is currently in peer review. The Report provides recommended design practices for conceptual engineering studies of nuclear fusion space propulsion systems. Discussion and recommendations are made on key topics including design reference missions, degree of technological extrapolation and concomitant risk, thoroughness in calculating mass properties (nominal mass properties, weight-growth contingency and propellant margins, and specific impulse), and thoroughness in calculating power generation and usage (power-flow, power contingencies, specific power). The report represents a general consensus of the nuclear fusion space propulsion system conceptual design community and proposes 15 recommendations. This paper expands on the Report by providing specific examples illustrating how to apply each of the recommendations.

  2. A Mobile Ecotourism Recommendations System Using Cars-Context Aware Approaches

    Directory of Open Access Journals (Sweden)

    Yani Nurhadryani

    2013-11-01

    Full Text Available The requirements to fullfill mobility of ecotourism activities have been urgent to support each traveler with the mobile gadget application. The objective of this research is to develop an application of recommendation system based on online user personalization. This application provided features to recommendation of ecotourism based on profile user and current location, then supplied information about distance and facilities in each ecotourism place. The main of computation worked online which was based on approach called as CARS (Context Aware Recommender Systems algorithm. The result showed that the application framework succeeded to give appropriate recommendations and explaination on a mobile platform both in the form of profile based spatial data and user preferences.

  3. The Design and Implementation of an Intelligent Apparel Recommend Expert System

    Directory of Open Access Journals (Sweden)

    A. H. Dong

    2013-01-01

    Full Text Available Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.

  4. Library Automation.

    Science.gov (United States)

    Husby, Ole

    1990-01-01

    The challenges and potential benefits of automating university libraries are reviewed, with special attention given to cooperative systems. Aspects discussed include database size, the role of the university computer center, storage modes, multi-institutional systems, resource sharing, cooperative system management, networking, and intelligent…

  5. Let´s go to the cinema! A movie recommender system for ephemeral groups of users

    OpenAIRE

    Guillermo Fernández; Waldemar López; Bruno Rienzi; Pablo Rodríguez-Bocca

    2015-01-01

    Going to the cinema or watching television are social activities that generally take place in groups. In these cases, a recommender system for ephemeral groups of users is more suitable than (well-studied) recommender systems for individuals. In this paper we present a recommendation system for groups of users that go to the cinema. The system uses the Slope One algorithm for computing individual predictions and the Multiplicative Utilitarian Strategy as a model to make a recommendation to an...

  6. Issues and Considerations regarding Sharable Data Sets for Recommender Systems in Technology Enhanced Learning

    DEFF Research Database (Denmark)

    Drachsler, Hendrik; Bogers, Toine; Vuorikari, Riina

    2010-01-01

    This paper raises the issue of missing standardised data sets for recommender systems in Technology Enhanced Learning (TEL) that can be used as benchmarks to compare different recommendation approaches. It discusses how suitable data sets could be created according to some initial suggestions...... elaboration of a representation and exchange format for sharable TEL data sets is carried out. The paper concludes with future research needs....

  7. Factors influencing intentions to use social recommender systems: a social exchange perspective.

    Science.gov (United States)

    Chang, Tsung-Sheng; Hsiao, Wei-Hung

    2013-05-01

    This study employs the perspective of social exchange theory and seeks to understand users' intentions to use social recommender systems (SRS) through three psychological factors: trust, shared values, and reputation. We use structural equation modeling to analyze 221 valid questionnaires. The results show that trust has a direct positive influence on the intention to use SRS, followed by shared values, whereas reputation has an indirect influence on SRS use. We further discuss specific recommendations concerning these factors for developing SRS.

  8. Model collaboration: university library system and rehabilitation research team to advance telepractice knowledge.

    Science.gov (United States)

    Deliyannides, Timothy S; Gabler, Vanessa

    2012-01-01

    This Publisher's Report describes the collaboration between a university library system's scholarly communication and publishing office and a federally funded research team, the Rehabilitation Engineering Research Center (RERC) on Telerehabilitation. This novel interdisciplinary collaboration engages librarians, information technologists, publishing professionals, clinicians, policy experts, and engineers and has produced a new Open Access journal, International Journal of Telerehabilitation, and a developing, interactive web-based product dedicated to disseminating information about telerehabilitation. Readership statistics are presented for March 1, 2011 - February 29, 2012.

  9. ReMashed - An Usability Study of a Recommender System for Mash-Ups for Learning

    Directory of Open Access Journals (Sweden)

    Rob Koper

    2010-01-01

    Full Text Available The following article presents an usability study of a Mash-up Personal Learning Environment called ReMashed that recommends items from the emerging information of a Learning Network. In ReMashed users can specify certain Web 2.0 services and combine them in a Mash-Up Personal Learning Environment. The users can rate information from an emerging amount of Web 2.0 information of a Learning Network and train a recommender system for their particular needs. In total 49 participants from 8 different countries registered to evaluate the ReMashed system. The participants contributed Web 2.0 contents and used the recommender system for one month. The evaluation was concluded with an online questionnaire where most of the participants were positive about the ReMashed system and offered helpful ideas for future developments.

  10. User-centric Evaluation of Recommender Systems in Social Learning Platforms: Accuracy is Just the Tip of the Iceberg

    NARCIS (Netherlands)

    Fazeli, Soudé; Drachsler, Hendrik; Bitter-Rijpkema, Marlies; Brouns, Francis; Van der Vegt, Wim; Sloep, Peter

    2017-01-01

    Recommender systems provide users with content they might be interested in. Conventionally, recommender systems are evaluated mostly by using prediction accuracy metrics only. But the ultimate goal of a recommender system is to increase user satisfaction. Therefore, evaluations that measure user

  11. Losing Libraries, Saving Libraries

    Science.gov (United States)

    Miller, Rebecca

    2010-01-01

    This summer, as public libraries continued to get budget hit after budget hit across the country, several readers asked for a comprehensive picture of the ravages of the recession on library service. In partnership with 2010 Movers & Shakers Laura Solomon and Mandy Knapp, Ohio librarians who bought the Losing Libraries domain name,…

  12. Electromagnetic pulse research on electric power systems: Program summary and recommendations. Power Systems Technology Program

    Energy Technology Data Exchange (ETDEWEB)

    Barnes, P.R.; McConnell, B.W.; Van Dyke, J.W. [Oak Ridge National Lab., TN (United States); Tesche, F.M. [Tesche (F.M.), Dallas, TX (United States); Vance, E.F. [Vance (E.F.), Fort Worth, TX (United States)

    1993-01-01

    A single nuclear detonation several hundred kilometers above the central United States will subject much of the nation to a high-altitude electromagnetic pulse (BENT). This pulse consists of an intense steep-front, short-duration transient electromagnetic field, followed by a geomagnetic disturbance with tens of seconds duration. This latter environment is referred to as the magnetohydrodynamic electromagnetic pulse (NMENT). Both the early-time transient and the geomagnetic disturbance could impact the operation of the nation`s power systems. Since 1983, the US Department of Energy has been actively pursuing a research program to assess the potential impacts of one or more BENT events on the nation`s electric energy supply. This report summarizes the results of that program and provides recommendations for enhancing power system reliability under HENT conditions. A nominal HENP environment suitable for assessing geographically large systems was developed during the program and is briefly described in this report. This environment was used to provide a realistic indication of BEMP impacts on electric power systems. It was found that a single high-altitude burst, which could significantly disturb the geomagnetic field, may cause the interconnected power network to break up into utility islands with massive power failures in some areas. However, permanent damage would be isolated, and restoration should be possible within a few hours. Multiple bursts would likely increase the blackout areas, component failures, and restoration time. However, a long-term blackout of many months is unlikely because major power system components, such as transformers, are not likely to be damaged by the nominal HEND environment. Moreover, power system reliability, under both HENT and normal operating conditions, can be enhanced by simple, and often low cost, modifications to current utility practices.

  13. Expanding Learning and Social Interaction through Intelligent Systems Design: Implementing a Reputation and Recommender System for the Claremont Conversation Online

    Science.gov (United States)

    Thoms, Brian

    2009-01-01

    In this dissertation I examine the design, construction and implementation of an online blog ratings and user recommender system for the Claremont Conversation Online (CCO). In line with constructivist learning models and practical information systems (IS) design, I implemented a blog ratings system (a system that can be extended to allow for…

  14. Learning Management System with Prediction Model and Course-Content Recommendation Module

    Science.gov (United States)

    Evale, Digna S.

    2017-01-01

    Aim/Purpose: This study is an attempt to enhance the existing learning management systems today through the integration of technology, particularly with educational data mining and recommendation systems. Background: It utilized five-year historical data to find patterns for predicting student performance in Java Programming to generate…

  15. Exploring Long-Term Behavior Patterns in a Book Recommendation System for Reading

    Science.gov (United States)

    Chien, Tzu-Chao; Chen, Zhi-Hong; Chan, Tak-Wai

    2017-01-01

    This study explored the behavior of students who used a book recommendation system, specifically the My-Bookstore system, over a five semester period. This study addressed two main research questions, the first being related to "the most frequent behaviors and behavioral patterns." The results showed that "visiting" behavior…

  16. Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

    Science.gov (United States)

    Verbert, K.; Manouselis, N.; Ochoa, X.; Wolpers, M.; Drachsler, H.; Bosnic, I.; Duval, E.

    2012-01-01

    Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely…

  17. [Secondary school menu in Madrid (Spain): knowledge and adherence to the Spanish National Health System recommendations].

    Science.gov (United States)

    Berradre-Sáenz, Belén; Royo-Bordonada, Miguel Ángel; Bosqued, María José; Moya, María Ángeles; López, Lázaro

    2015-01-01

    To establish the degree of knowledge and adherence to the Spanish National Health System recommendations on nutrition in schools in the Autonomous Community of Madrid. Cross-sectional study of a random sample of 182 secondary schools from Madrid, during 2013-2014 school year. Information on the characteristics of the schools and the knowledge of the recommendations was collected by internet and telephone interviews, as well as a copy of the school menu. The average number of rations per week offered for each food item and the percentage of schools within the recommended range were calculated. The overall adherence was obtained as the mean of food items (0-12) within the range. 65.5% of the schools were unaware of the national recommendations. The supply of rice, pasta, fish, eggs, salad and fruit was lower than recommended, whereas for meat, accompaniment and other desserts was higher. The percentage of schools within the range for each food item varied between 13% and 95%. The mean of overall adherence was 6.3, with no differences depending on whether the menu was prepared or not at schools or there was or not a person in charge of nutrition standards. The degree of adherence to the recommendations was variable, being advised to increase the supply of cereals, eggs, fish, salad and fruit. Programs for dissemination and implementation of the recommendations, leaded by trained professionals, are required to improve the nutritional value of school menu. Copyright © 2015 SESPAS. Published by Elsevier Espana. All rights reserved.

  18. A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD

    Directory of Open Access Journals (Sweden)

    Z. Bahramian

    2017-09-01

    Full Text Available Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user’s preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user’s preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user’s feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  19. A novel video recommendation system based on efficient retrieval of human actions

    Science.gov (United States)

    Ramezani, Mohsen; Yaghmaee, Farzin

    2016-09-01

    In recent years, fast growth of online video sharing eventuated new issues such as helping users to find their requirements in an efficient way. Hence, Recommender Systems (RSs) are used to find the users' most favorite items. Finding these items relies on items or users similarities. Though, many factors like sparsity and cold start user impress the recommendation quality. In some systems, attached tags are used for searching items (e.g. videos) as personalized recommendation. Different views, incomplete and inaccurate tags etc. can weaken the performance of these systems. Considering the advancement of computer vision techniques can help improving RSs. To this end, content based search can be used for finding items (here, videos are considered). In such systems, a video is taken from the user to find and recommend a list of most similar videos to the query one. Due to relating most videos to humans, we present a novel low complex scalable method to recommend videos based on the model of included action. This method has recourse to human action retrieval approaches. For modeling human actions, some interest points are extracted from each action and their motion information are used to compute the action representation. Moreover, a fuzzy dissimilarity measure is presented to compare videos for ranking them. The experimental results on HMDB, UCFYT, UCF sport and KTH datasets illustrated that, in most cases, the proposed method can reach better results than most used methods.

  20. a Context-Aware Tourism Recommender System Based on a Spreading Activation Method

    Science.gov (United States)

    Bahramian, Z.; Abbaspour, R. Ali; Claramunt, C.

    2017-09-01

    Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user's preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user's preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user's feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

  1. Nonlinear model reduction for dynamical systems using sparse sensor locations from learned libraries.

    Science.gov (United States)

    Sargsyan, Syuzanna; Brunton, Steven L; Kutz, J Nathan

    2015-09-01

    We demonstrate the synthesis of sparse sampling and dimensionality reduction to characterize and model nonlinear dynamical systems over a range of bifurcation parameters. First, we construct modal libraries using the classical proper orthogonal decomposition in order to expose the dominant low-rank coherent structures. Here, libraries of the nonlinear terms are also constructed in order to take advantage of the discrete empirical interpolation method and projection that allows for the approximation of nonlinear terms from a sparse number of grid points. The selected grid points are shown to be effective sensing and measurement locations for characterizing the underlying dynamics, stability, and bifurcations of nonlinear dynamical systems. The use of empirical interpolation points and sparse representation facilitates a family of local reduced-order models for each physical regime, rather than a higher-order global model, which has the benefit of physical interpretability of energy transfer between coherent structures. The method advocated also allows for orders-of-magnitude improvement in computational speed and memory requirements. To illustrate the method, the discrete interpolation points and nonlinear modal libraries are used for sparse representation in order to classify and reconstruct the dynamic bifurcation regimes in the complex Ginzburg-Landau equation. It is also shown that point measurements of the nonlinearity are more effective than linear measurements when sensor noise is present.

  2. Recommender System for E-Learning Based on Semantic Relatedness of Concepts

    Directory of Open Access Journals (Sweden)

    Mao Ye

    2015-08-01

    Full Text Available Digital publishing resources contain a lot of useful and authoritative knowledge. It may be necessary to reorganize the resources by concepts and recommend the related concepts for e-learning. A recommender system is presented in this paper based on the semantic relatedness of concepts computed by texts from digital publishing resources. Firstly, concepts are extracted from encyclopedias. Information in digital publishing resources is then reorganized by concepts. Secondly, concept vectors are generated by skip-gram model and semantic relatedness between concepts is measured according to the concept vectors. As a result, the related concepts and associated information can be recommended to users by the semantic relatedness for learning or reading. History data or users’ preferences data are not needed for recommendation in a specific domain. The technique may not be language-specific. The method shows potential usability for e-learning in a specific domain.

  3. Decision support system of e-book provider selection for library using Simple Additive Weighting

    Science.gov (United States)

    Ciptayani, P. I.; Dewi, K. C.

    2018-01-01

    Each library has its own criteria and differences in the importance of each criterion in choosing an e-book provider for them. The large number of providers and the different importance levels of each criterion make the problem of determining the e-book provider to be complex and take a considerable time in decision making. The aim of this study was to implement Decision support system (DSS) to assist the library in selecting the best e-book provider based on their preferences. The way of DSS works is by comparing the importance of each criterion and the condition of each alternative decision. SAW is one of DSS method that is quite simple, fast and widely used. This study used 9 criteria and 18 provider to demonstrate how SAW work in this study. With the DSS, then the decision-making time can be shortened and the calculation results can be more accurate than manual calculations.

  4. The Design of Data-Structure-Neutral Libraries for the Iterative Solution of Sparse Linear Systems

    Directory of Open Access Journals (Sweden)

    Barry F. Smith

    1996-01-01

    Full Text Available Over the past few years several proposals have been made for the standardization of sparse matrix storage formats in order to allow for the development of portable matrix libraries for the iterative solution of linear systems. We believe that this is the wrong approach. Rather than define one standard (or a small number of standards for matrix storage, the community should define an interface (i.e., the calling sequences for the functions that act on the data. In addition, we cannot ignore the interface to the vector operations because, in many applications, vectors may not be stored as consecutive elements in memory. With the acceptance of shared memory, distributed memory, and cluster memory parallel machines, the flexibility of the distribution of the elements of vectors is also extremely important. This issue is ignored in most proposed standards. In this article we demonstrate how such libraries may be written using data encapsulation techniques.

  5. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.

    Energy Technology Data Exchange (ETDEWEB)

    Peters, Valerie A.; Ogilvie, Alistair; Veers, Paul S.

    2009-09-01

    This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a list of the data needed to support reliability and availability analysis, and gives specific recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of fielded wind turbines. This report is intended to help the reader develop a basic understanding of what data are needed from a Computerized Maintenance Management System (CMMS) and other data systems, for reliability analysis. The report provides: (1) a list of the data needed to support reliability and availability analysis; and (2) specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and a wider variety of analysis and reporting needs.

  6. We know what you want to buy:a demographic-based system for product recommendation on microblogs

    OpenAIRE

    Zhao, Xin Wayne; Guo, Yanwei; He, Yulan; Jiang, Han; Wu, Yuexin; Li, Xiaoming

    2014-01-01

    Product recommender systems are often deployed by e-commerce websites to improve user experience and increase sales. However, recommendation is limited by the product information hosted in those e-commerce sites and is only triggered when users are performing e-commerce activities. In this paper, we develop a novel product recommender system called METIS, a MErchanT Intelligence recommender System, which detects users' purchase intents from their microblogs in near real-time and makes product...

  7. A Sightseeing Spot Recommendation System That Takes into Account the Change in Circumstances of Users

    Directory of Open Access Journals (Sweden)

    Yuri Mizutani

    2017-10-01

    Full Text Available The present study aimed to design, develop, operate and evaluate a sightseeing spot recommendation system for urban sightseeing spots in order to support individual, as well as group sightseeing activities while taking into consideration the user’s needs, which can change according to the circumstances (each user’s important conditions and sightseeing unit. The system was developed by integrating Web-GIS (Geographic Information Systems, the pairing system, the evaluation system, as well as the recommendation system into a single system, and it was also connected with external SNS (Social Networking Services: Twitter and Facebook. Additionally, the system was operated for four weeks in the central part of Yokohama City in Kanagawa Prefecture, Japan, and the total number of users was 52. Based on the results of the web questionnaire survey, the usefulness of the system when sightseeing was high, and the recommendation function of sightseeing spots, which is an original function, has received mainly good ratings. From the results of the access analysis of users’ log data, it is evident that the system has been used by different types of devices, just as it was designed for, and that the system has been used according to the purpose of the present study, which is to support the sightseeing activities of users.

  8. Multi-agent system for Knowledge-based recommendation of Learning Objects

    Directory of Open Access Journals (Sweden)

    Paula Andrea RODRÍGUEZ MARÍN

    2015-12-01

    Full Text Available Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.Learning Object (LO is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision.

  9. Tailoring NIST Security Controls for the Ground System: Selection and Implementation -- Recommendations for Information System Owners

    Science.gov (United States)

    Takamura, Eduardo; Mangum, Kevin

    2016-01-01

    . Certain protective measures for the general enterprise may not be as efficient within the ground segment. This is what the authors have concluded through observations and analysis of patterns identified from the various security assessments performed on NASA missions such as MAVEN, OSIRIS-REx, New Horizons and TESS, to name a few. The security audits confirmed that the framework for managing information system security developed by the National Institute of Standards and Technology (NIST) for the federal government, and adopted by NASA, is indeed effective. However, the selection of the technical, operational and management security controls offered by the NIST model - and how they are implemented - does not always fit the nature and the environment where the ground system operates in even though there is no apparent impact on mission success. The authors observed that unfit controls, that is, controls that are not necessarily applicable or sufficiently effective in protecting the mission systems, are often selected to facilitate compliance with security requirements and organizational expectations even if the selected controls offer minimum or non-existent protection. This paper identifies some of the standard security controls that can in fact protect the ground system, and which of them offer little or no benefit at all. It offers multiple scenarios from real security audits in which the controls are not effective without, of course, disclosing any sensitive information about the missions assessed. In addition to selection and implementation of controls, the paper also discusses potential impact of recent legislation such as the Federal Information Security Modernization Act (FISMA) of 2014 - aimed at the enterprise - on the ground system, and offers other recommendations to Information System Owners (ISOs).

  10. E-book recommender system design and implementation based on data mining

    Science.gov (United States)

    Wang, Zongjiang

    2011-12-01

    In the knowledge explosion, rapid development of information age, how quickly the user or users interested in useful information for feedback to the user problem to be solved in this article. This paper based on data mining, association rules to the model and classification model a combination of electronic books on the recommendation of the user's neighboring users interested in e-books to target users. Introduced the e-book recommendation and the key technologies, system implementation algorithms, and implementation process, was proved through experiments that this system can help users quickly find the required e-books.

  11. N-screen aware multicriteria hybrid recommender system using weight based subspace clustering.

    Science.gov (United States)

    Ullah, Farman; Sarwar, Ghulam; Lee, Sungchang

    2014-01-01

    This paper presents a recommender system for N-screen services in which users have multiple devices with different capabilities. In N-screen services, a user can use various devices in different locations and time and can change a device while the service is running. N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. For N-screen aware recommendation support, this work introduces a user device profile collaboration agent, manager, and N-screen control server to acquire and manage the user N-screen devices profile. Furthermore, a multicriteria hybrid framework is suggested that incorporates the N-screen devices information with user preferences and demographics. In addition, we propose an individual feature and subspace weight based clustering (IFSWC) to assign different weights to each subspace and each feature within a subspace in the hybrid framework. The proposed system improves the accuracy, precision, scalability, sparsity, and cold start issues. The simulation results demonstrate the effectiveness and prove the aforementioned statements.

  12. Consultative Committee for Space Data Systems recommendation for space data system standards: Telecommand. Part 2.1: Command operation procedures

    Science.gov (United States)

    1991-01-01

    This recommendation contains the detailed specification of the logic required to carry out the Command Operations Procedures of the Transfer Layer. The Recommendation for Telecommand--Part 2, Data Routing Service contains the standard data structures and data communication procedures used by the intermediate telecommand system layers (the Transfer and Segmentation Layers). In particular, it contains a brief description of the Command Operations Procedures (COP) within the Transfer Layer. This recommendation contains the detailed definition of the COP's in the form of state tables, along with definitions of the terms used. It is assumed that the reader of this document is familiar with the data structures and terminology of part 2. In case of conflict between the description of the COP's in part 2 and in this recommendation, the definition in this recommendation will take precedence. In particular, this document supersedes section 4.3.3.1 through 4.3.3.4 of part 2.

  13. Creating a library holding group: an approach to large system integration.

    Science.gov (United States)

    Huffman, Isaac R; Martin, Heather J; Delawska-Elliott, Basia

    2016-10-01

    Faced with resource constraints, many hospital libraries have considered joint operations. This case study describes how Providence Health & Services created a single group to provide library services. Using a holding group model, staff worked to unify more than 6,100 nonlibrary subscriptions and 14 internal library sites. Our library services grew by unifying 2,138 nonlibrary subscriptions and 11 library sites and hiring more library staff. We expanded access to 26,018 more patrons. A model with built-in flexibility allowed successful library expansion. Although challenges remain, this success points to a viable model of unified operations.

  14. A Context Aware Recommender System for Mobile Phone Selection Using Combination of Elimination Method and Analytic Hierarchy Processing

    Directory of Open Access Journals (Sweden)

    Jalal Rezaeenour

    2017-09-01

    Full Text Available Recommender systems suggest proper items to customers based on their preferences and needs. Needed time to search is reduced and the quality of customer’s choice is increased using recommender systems. The context information like time, location and user behaviors can enhance the quality of recommendations and customer satisfication in such systems. In this paper a context aware recommender system is designed and implemented in android smart phones to help customers select mobile phones. The system removes ineffective criteria on user’s purcheses using customer mobile phones’ sensor data. Then creates analytic hierarchy processing tree and computes weights. Finally the recommender system recommends proper mobile phone to user. The system selects and recommends suitable phones using combination of elimination method and analytic hierarchy processing (AHP. The context aware recommender system is used by mobile phone customers to assess recomendation satisfication and user interface design satisfication. In addition a traditional non-context aware recommender system is used by users to compare the recommendation results in two different systems. The article concludes that using context information can improve the recommendation quality and user satisfication. Because of decreasing criteria and pair-wised comparisions, the user interface design satisfication improves a little too.

  15. Investigating the Application of Semantic Technology to Organize Information in Digital Library Software Systems

    Directory of Open Access Journals (Sweden)

    Simin Hajiahmadi

    2017-06-01

    The results indicated that digital libraries with respect to the application of semantic technology were not in good condition; therefore, they need to take all the weaknesses identified in this study into consideration. Software for IT architecture requires layers of meaning beyond their original design. In addition, regarding the languages implemented, semantic technology had very poor performance and none of the tools had this new technology to develop and implement. The majority of the tools employed were also in the initial stage of recognition. In many cases, information sources were kept outside of the databases and they had only text files for full-text search. On the whole, the software systems studied here were at the same level although they sometimes surpassed each other. The present study not only developed a checklist of the application of semantic technologies to organize information software digital library based on relevant literature and the experts, but also can make digital library software developers aware of their strengths and weaknesses, and the criteria and factors existing in this area in addition to the importance of each of them to help them in their own design and production in the future.

  16. Worldwide Use and Impact of the NASA Astrophysics Data System Digital Library

    Science.gov (United States)

    Kurtz, Michael J.; Eichhorn, Guenther; Accomazzi, Alberto; Grant, Carolyn S.; Demleitner, Markus; Murray, Stephen S.

    The NASA Astrophysics Data System (ADS), along with astronomy's journals and data centers (a collaboration dubbed URANIA), has developed a distributed on-line digital library which has become the dominant means by which astronomers search, access and read their technical literature. Digital libraries permit the easy accumulation of a new type of bibliometric measure, the number of electronic accesses (``reads'') of individual articles. By combining data from the text, citation, and reference databases with data from the ADS readership logs we have been able to create Second Order Bibliometric Operators, a customizable class of collaborative filters which permits substantially improved accuracy in literature queries. Using the ADS usage logs along with membership statistics from the International Astronomical Union and data on the population and gross domestic product (GDP) we develop an accurate model for world-wide basic research where the number of scientists in a country is proportional to the GDP of that country, and the amount of basic research done by a country is proportional to the number of scientists in that country times that country's per capita GDP. We introduce the concept of utility time to measure the impact of the ADS/URANIA and the electronic astronomical library on astronomical research. We find that in 2002 it amounted to the equivalent of 736 FTE researchers, or 250 Million, or the astronomical research done in France.

  17. An Integrated Nonlinear Analysis library - (INA) for solar system plasma turbulence

    Science.gov (United States)

    Munteanu, Costel; Kovacs, Peter; Echim, Marius; Koppan, Andras

    2014-05-01

    We present an integrated software library dedicated to the analysis of time series recorded in space and adapted to investigate turbulence, intermittency and multifractals. The library is written in MATLAB and provides a graphical user interface (GUI) customized for the analysis of space physics data available online like: Coordinated Data Analysis Web (CDAWeb), Automated Multi Dataset Analysis system (AMDA), Planetary Science Archive (PSA), World Data Center Kyoto (WDC), Ulysses Final Archive (UFA) and Cluster Active Archive (CAA). Three main modules are already implemented in INA : the Power Spectral Density (PSD) Analysis, the Wavelet and Intemittency Analysis and the Probability Density Functions (PDF) analysis.The layered structure of the software allows the user to easily switch between different modules/methods while retaining the same time interval for the analysis. The wavelet analysis module includes algorithms to compute and analyse the PSD, the Scalogram, the Local Intermittency Measure (LIM) or the Flatness parameter. The PDF analysis module includes algorithms for computing the PDFs for a range of scales and parameters fully customizable by the user; it also computes the Flatness parameter and enables fast comparison with standard PDF profiles like, for instance, the Gaussian PDF. The library has been already tested on Cluster and Venus Express data and we will show relevant examples. Research supported by the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement no 313038/STORM, and a grant of the Romanian Ministry of National Education, CNCS UEFISCDI, project number PN-II-ID PCE-2012-4-0418.

  18. KONTRIBUSI MODAL SOSIAL DALAM PENGEMBANGAN OTOMASI PERPUSTAKAAN: STUDI KASUS KOMUNITAS SLiMS (SENAYAN LIBRARY MANAGEMENT SYSTEM YOGYAKARTA

    Directory of Open Access Journals (Sweden)

    Yanuar Yoga Prasetyawan

    2016-11-01

    Full Text Available Today the implementation of information technology in libraries has become a basic need to organize the information, not least in Indonesia. Lack of economic capital (fund and intellectual capital (human resources that have IT educational background cause many library in Indonesia can not be able to buy or self develop the information technology. However SLiMS attend like a panacea, which capable of treating and eliminating the limitations of most libraries in Indonesia. SLiMS is an open source software for the Library Management that can be downloaded and implemented for free. In addition Slims rarely have the power owned by a software (information systems that is a SLiMS User Community. In Indonesia, SLiMS User Community has mushrooming in various regions across Indonesia, one of them in Yogyakarta. Growth and development of SLiMS User Community in Yogyakarta is a manifestation of social capital for the library with lack of information technology implementation. The purpose of this study is to reveal the values and norms are upheld by the Yogyakarta SLiMS User Community that foster social capital which drives community activities as an agent who eliminate the lack of economic capital and intellectual capital that suffered by many libraries in Indonesia. The method used is qualitative method with phenomenological approach. The results showed that the values and norms are upheld together by the Yogyakarta SLiMS User Community is becoming a agent of change of the library conditions in Indonesia, to contribute the automation development in Indonesia. That value and norms are expressed through the sinau bareng. Through sinau bareng, they were learning together to implement SLiMS. Sinau bareng was held each month by a Yogyakarta SLiMS User Community. it became the antidote the lack of libraries. So it will bring justice for all types of libraries to have the right to fulfi ll their basic needs of implementing information technology as library

  19. Hot news recommendation system from heterogeneous websites based on bayesian model.

    Science.gov (United States)

    Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

    2014-01-01

    The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.

  20. Hot News Recommendation System from Heterogeneous Websites Based on Bayesian Model

    Directory of Open Access Journals (Sweden)

    Zhengyou Xia

    2014-01-01

    Full Text Available The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs. In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results.

  1. Hot News Recommendation System from Heterogeneous Websites Based on Bayesian Model

    Science.gov (United States)

    Xia, Zhengyou; Xu, Shengwu; Liu, Ningzhong; Zhao, Zhengkang

    2014-01-01

    The most current news recommendations are suitable for news which comes from a single news website, not for news from different heterogeneous news websites. Previous researches about news recommender systems based on different strategies have been proposed to provide news personalization services for online news readers. However, little research work has been reported on utilizing hundreds of heterogeneous news websites to provide top hot news services for group customers (e.g., government staffs). In this paper, we propose a hot news recommendation model based on Bayesian model, which is from hundreds of different news websites. In the model, we determine whether the news is hot news by calculating the joint probability of the news. We evaluate and compare our proposed recommendation model with the results of human experts on the real data sets. Experimental results demonstrate the reliability and effectiveness of our method. We also implement this model in hot news recommendation system of Hangzhou city government in year 2013, which achieves very good results. PMID:25093207

  2. An automated two-phase microfluidic system for kinetic analyses and the screening of compound libraries.

    Science.gov (United States)

    Clausell-Tormos, Jenifer; Griffiths, Andrew D; Merten, Christoph A

    2010-05-21

    Droplet-based microfluidic systems allow biological and chemical reactions to be performed on a drastically decreased scale. However, interfacing the outside world with such systems and generating high numbers of microdroplets of distinct chemical composition remain challenging. We describe here an automated system in which arrays of chemically distinct plugs are generated from microtiter plates. Each array can be split into multiple small-volume copies, thus allowing several screens of the same library. The system is fully compatible with further on-chip manipulation(s) and allows monitoring of individual plugs over time (e.g. for recording reaction kinetics). Hence the technology eliminates several bottlenecks of current droplet-based microfluidic systems and should open the way for (bio-)chemical and cell-based screens.

  3. TV Recommendation and Personalization Systems: Integrating Broadcast and Video On demand Services

    Directory of Open Access Journals (Sweden)

    SOARES, M.

    2014-02-01

    Full Text Available The expansion of Digital Television and the convergence between conventional broadcasting and television over IP contributed to the gradual increase of the number of available channels and on demand video content. Moreover, the dissemination of the use of mobile devices like laptops, smartphones and tablets on everyday activities resulted in a shift of the traditional television viewing paradigm from the couch to everywhere, anytime from any device. Although this new scenario enables a great improvement in viewing experiences, it also brings new challenges given the overload of information that the viewer faces. Recommendation systems stand out as a possible solution to help a watcher on the selection of the content that best fits his/her preferences. This paper describes a web based system that helps the user navigating on broadcasted and online television content by implementing recommendations based on collaborative and content based filtering. The algorithms developed estimate the similarity between items and users and predict the rating that a user would assign to a particular item (television program, movie, etc.. To enable interoperability between different systems, programs? characteristics (title, genre, actors, etc. are stored according to the TV-Anytime standard. The set of recommendations produced are presented through a Web Application that allows the user to interact with the system based on the obtained recommendations.

  4. Evaluation of context-aware recommendation systems for information re-finding

    NARCIS (Netherlands)

    Sappelli, M.; Verberne, S.; Kraaij, W.

    2016-01-01

    In this article we evaluate context-aware recommendation systems for information re-finding by knowledge workers. We identify 4 criteria that are relevant for evaluating the quality of knowledge worker support: context relevance, document relevance, prediction of user action, and diversity of the

  5. Indicators of climate impacts for forests: recommendations for the US National Climate Assessment indicators system

    Science.gov (United States)

    Linda S. Heath; Sarah M. Anderson; Marla R. Emery; Jeffrey A. Hicke; Jeremy Littell; Alan Lucier; Jeffrey G. Masek; David L. Peterson; Richard Pouyat; Kevin M. Potter; Guy Robertson; Jinelle Sperry; Andrzej Bytnerowicz; Sarah Jovan; Miranda H. Mockrin; Robert Musselman; Bethany K. Schulz; Robert J. Smith; Susan I. Stewart

    2015-01-01

    The Third National Climate Assessment (NCA) process for the United States focused in part on developing a system of indicators to communicate key aspects of the physical climate, climate impacts, vulnerabilities, and preparedness to inform decisionmakers and the public. Initially, 13 active teams were formed to recommend indicators in a range of categories, including...

  6. A network and visual quality aware N-screen content recommender system using joint matrix factorization.

    Science.gov (United States)

    Ullah, Farman; Sarwar, Ghulam; Lee, Sungchang

    2014-01-01

    We propose a network and visual quality aware N-Screen content recommender system. N-Screen provides more ways than ever before to access multimedia content through multiple devices and heterogeneous access networks. The heterogeneity of devices and access networks present new questions of QoS (quality of service) in the realm of user experience with content. We propose, a recommender system that ensures a better visual quality on user's N-screen devices and the efficient utilization of available access network bandwidth with user preferences. The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. The objective is to recommend content that the user's N-Screen device and access network are capable of displaying and streaming with the user preferences that have not been supported in existing systems. Furthermore, we suggest a joint matrix factorization approach to jointly factorize the users rating matrix with the users N-Screen device similarity and program genres similarity. Finally, the experimental results show that we also enhance the prediction and recommendation accuracy, sparsity, and cold start issues.

  7. Effective Trust-Aware E-learning Recommender System Based on Learning Styles and Knowledge Levels

    Science.gov (United States)

    Dwivedi, Pragya; Bharadwaj, Kamal K.

    2013-01-01

    In the age of information explosion, e-learning recommender systems (ELRSs) have emerged as the most essential tool to deliver personalized learning resources to learners. Due to enormous amount of information on the web, learner faces problem in searching right information. ELRSs deal with the problem of information overload effectively and…

  8. A Network and Visual Quality Aware N-Screen Content Recommender System Using Joint Matrix Factorization

    Directory of Open Access Journals (Sweden)

    Farman Ullah

    2014-01-01

    Full Text Available We propose a network and visual quality aware N-Screen content recommender system. N-Screen provides more ways than ever before to access multimedia content through multiple devices and heterogeneous access networks. The heterogeneity of devices and access networks present new questions of QoS (quality of service in the realm of user experience with content. We propose, a recommender system that ensures a better visual quality on user’s N-screen devices and the efficient utilization of available access network bandwidth with user preferences. The proposed system estimates the available bandwidth and visual quality on users N-Screen devices and integrates it with users preferences and contents genre information to personalize his N-Screen content. The objective is to recommend content that the user’s N-Screen device and access network are capable of displaying and streaming with the user preferences that have not been supported in existing systems. Furthermore, we suggest a joint matrix factorization approach to jointly factorize the users rating matrix with the users N-Screen device similarity and program genres similarity. Finally, the experimental results show that we also enhance the prediction and recommendation accuracy, sparsity, and cold start issues.

  9. RECOMMENDED SUB-SLAB DEPRESSURIZATION SYSTEMS DESIGN STANDARD OF THE FLORIDA RADON RESEARCH PROGRAM

    Science.gov (United States)

    The report recommends sub-slab depressurization systems design criteria to the State of Florida's Department of Community Affairs for their building code for radon resistant houses. Numerous details are set forth in the full report. Primary criteria include: (1) the operating soi...

  10. Recommender Systems for the Department of Defense and the Intelligence Community

    Science.gov (United States)

    2016-03-11

    stages in the workflow of a generic model. FIGURE 1. A recommender system consists of users, objects and ratings that interact with each other...clusters and events, search and filtering options, a timeline, and a word cloud (Figure 4). As an information filtering tool, GPSS provides detail on

  11. Which Doctor to Trust: A Recommender System for Identifying the Right Doctors.

    Science.gov (United States)

    Guo, Li; Jin, Bo; Yao, Cuili; Yang, Haoyu; Huang, Degen; Wang, Fei

    2016-07-07

    Key opinion leaders (KOLs) are people who can influence public opinion on a certain subject matter. In the field of medical and health informatics, it is critical to identify KOLs on various disease conditions. However, there have been very few studies on this topic. We aimed to develop a recommender system for identifying KOLs for any specific disease with health care data mining. We exploited an unsupervised aggregation approach for integrating various ranking features to identify doctors who have the potential to be KOLs on a range of diseases. We introduce the design, implementation, and deployment details of the recommender system. This system collects the professional footprints of doctors, such as papers in scientific journals, presentation activities, patient advocacy, and media exposure, and uses them as ranking features to identify KOLs. We collected the information of 2,381,750 doctors in China from 3,657,797 medical journal papers they published, together with their profiles, academic publications, and funding. The empirical results demonstrated that our system outperformed several benchmark systems by a significant margin. Moreover, we conducted a case study in a real-world system to verify the applicability of our proposed method. Our results show that doctors' profiles and their academic publications are key data sources for identifying KOLs in the field of medical and health informatics. Moreover, we deployed the recommender system and applied the data service to a recommender system of the China-based Internet technology company NetEase. Patients can obtain authority ranking lists of doctors with this system on any given disease.

  12. Establishing Recommendations for Stroke Systems in the Thrombectomy Era: The Upstate New York Stakeholder Proceedings.

    Science.gov (United States)

    Magdon-Ismail, Zainab; Benesch, Curtis; Cushman, Jeremy T; Brissette, Ian; Southerland, Andrew M; Brandler, Ethan S; Sozener, Cemal B; Flor, Sue; Hemmitt, Roseanne; Wales, Kathleen; Parrigan, Krystal; Levine, Steven R

    2017-07-01

    The American Heart Association/American Stroke Association and Department of Health Stroke Coverdell Program convened a stakeholder meeting in upstate NY to develop recommendations to enhance stroke systems for acute large vessel occlusion. Prehospital, hospital, and Department of Health leadership were invited (n=157). Participants provided goals/concerns and developed recommendations for prehospital triage and interfacility transport, rating each using a 3-level impact (A [high], B, and C [low]) and implementation feasibility (1 [high], 2, and 3 [low]) scale. Six weeks later, participants finalized recommendations. Seventy-one stakeholders (45% of invitees) attended. Six themes around goals/concerns emerged: (1) emergency medical services capacity, (2) validated prehospital screening tools, (3) facility capability, (4) triage/transport guidelines, (5) data capture/feedback tools, and (6) facility competition. In response, high-impact (level A) prehospital recommendations, stratified by implementation feasibility, were (1) use of online medical control for triage (6%); (2) regional transportation strategy (31%), standardized emergency medical services checklists (18%), quality metrics (14%), standardized prehospital screening tools (13%), and feedback for performance improvement (7%); and (3) smartphone application algorithm for screening/decision-making (6%) and ambulance-based telemedicine (6%). Level A interfacility transfer recommendations were (1) standardized transfer process (32%)/timing goals (16%)/regionalized systems (11%), performance metrics (11%), image sharing capabilities (7%); (2) provider education (9%) and stroke toolbox (5%); and (3) interfacility telemedicine (7%) and feedback (2%). The methods used and recommendations generated provide models for stroke system enhancement. Implementation may vary based on geographic need/capacity and be contingent on establishing standard care practices. Further research is needed to establish optimal

  13. Managing Technology in Libraries.

    Science.gov (United States)

    Kelley, Kimberly Banks

    1992-01-01

    Explores the changing role of the library and the importance of developing a strategic technology policy. An approach to technology that includes a review of the technology base, continuing education, improved hiring practices, innovative organizational design, and greater involvement of libraries in research and development is recommended. (six…

  14. Dumping the "Library."

    Science.gov (United States)

    Crowley, Bill

    1998-01-01

    Discusses an alternative to abandoning the word "library" for "information" in graduate education. Recommends patient, consistent effort by library- and information-science educators to convince academic librarians that if they accept the standards of the teaching/research faculty, including the need to earn a Ph.D., it will raise the prestige of…

  15. Long-term effects of user preference-oriented recommendation method on the evolution of online system

    Science.gov (United States)

    Shi, Xiaoyu; Shang, Ming-Sheng; Luo, Xin; Khushnood, Abbas; Li, Jian

    2017-02-01

    As the explosion growth of Internet economy, recommender system has become an important technology to solve the problem of information overload. However, recommenders are not one-size-fits-all, different recommenders have different virtues, making them be suitable for different users. In this paper, we propose a novel personalized recommender based on user preferences, which allows multiple recommenders to exist in E-commerce system simultaneously. We find that output of a recommender to each user is quite different when using different recommenders, the recommendation accuracy can be significantly improved if each user is assigned with his/her optimal personalized recommender. Furthermore, different from previous works focusing on short-term effects on recommender, we also evaluate the long-term effect of the proposed method by modeling the evolution of mutual feedback between user and online system. Finally, compared with single recommender running on the online system, the proposed method can improve the accuracy of recommendation significantly and get better trade-offs between short- and long-term performances of recommendation.

  16. Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation.

    Science.gov (United States)

    Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

    2017-06-01

    This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.

  17. Surviving a merger: how four hospital libraries created a unified system.

    Science.gov (United States)

    Regenberg, Patricia B; Joyce, Mary K; Moeller, Kathleen; Ratner, Juliette

    2002-01-01

    Librarians are acknowledged as leaders in providing information and knowledge management. They recognize the importance of maintaining an awareness of the most cutting-edge information and technology to meet the challenges of new business practices and changes that inevitably occur. Working as a team, the AHS librarians have achieved a level of communication and cooperation that is an example to other departments in the system. The success of the merged libraries has created new opportunities for leadership and growth and an optimistic future.

  18. Teaching Near The Edge of Chaos: Dynamic Systems, Student Choices and Library Research

    Directory of Open Access Journals (Sweden)

    Robert Hautala

    2008-10-01

    Full Text Available This article is an investigation of the Dynamic Systems theory and its application to instruction and the learning process. Curricular suggestions are provided from the authors’ collaborative uses of library instruction within university academic courses. These suggestions address the use of environmental (classroom and task manipulations to provide students with choices within activities related to conducting literature reviews. A Four-Step Teaching Model, based on the “Ecological Task Analysis Model” (Davis and Burton, 1991, is also outlined, to give readers a step-by-step procedure to use when developing classroom curricula and delivery plans.

  19. Expert Meeting Report: Recommendations for Applying Water Heaters in Combination Space and Domestic Water Heating Systems

    Energy Technology Data Exchange (ETDEWEB)

    Rudd, A.; Ueno, K.; Bergey, D.; Osser, R.

    2012-07-01

    The topic of this meeting was 'Recommendations For Applying Water Heaters In Combination Space And Domestic Water Heating Systems.' Presentations and discussions centered on the design, performance, and maintenance of these combination systems, with the goal of developing foundational information toward the development of a Building America Measure Guideline on this topic. The meeting was held at the Westford Regency Hotel, in Westford, Massachusetts on 7/31/2011.

  20. Distributing knowledge maintenance for clinical decision-support systems: the "knowledge library" model.

    Science.gov (United States)

    Geissbuhler, A; Miller, R A

    1999-01-01

    The maintenance of knowledge-rich clinical decision-support systems is challenging, in particular in the complex setting of a large academic medical center. Distributing the maintenance tasks to the source of expertise can address scalability, accuracy and currency issues. It also helps to foster a more global sense of ownership among the system users. The knowledge maintenance model must provide processes and tools to deal with a wide range of stakeholders (resident and attending physicians, consulting specialists, other care providers, case managers, ancillary departments), with knowledge embedded in legacy departmental systems, and with the continuous evolution of the content and form of the knowledge base. We describe and illustrate the "knowledge library" model in use at Vanderbilt University Medical Center for the distributed maintenance of the integrated knowledge base that drives the WizOrder clinical decision-support, physician order entry, and notes capture system.