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...

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.

Selecting and Planning for an Automated Library System: Guidelines for Libraries.

Science.gov (United States)

Piccininni, James

Guidelines are given for automating a library. Issues arising in automation are illustrated through the experience of the Doherty Library of the University of St. Thomas, Houston (Texas). The first step is to decide what type of system is right for the needs of the library and its patrons. In considering vendors of systems, it is important to…

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…

Library of files of evaluated neutron data

International Nuclear Information System (INIS)

Blokhin, A.I.; Ignatyuk, A.V.; Koshcheev, V.N.; Kuz'minov, B.D.; Manokhin, V.N.; Manturov, G.N.; Nikolaev, M.N.

1988-01-01

It is reported about development of the evaluated neutron data files library which was recommended by the GKAE Nuclear Data Commission as the base of improving constant systems in neutron engeneering calculations. A short description of the library content is given and status of the library is pointed out

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.

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...

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.

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.

Consumer Health Information Provision in Rural Public Libraries: A Comparison of Two Library Systems

Science.gov (United States)

Flaherty, Mary Grace

2013-01-01

To better understand health information provision in the public library setting, two cooperative library systems that serve primarily rural populations in upstate New York were studied. The central library in one of those systems established a consumer health information center (CHIC) in 1999. In the other system, the central library does not have…

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.

Using a Recommendation System to Support Problem Solving and Case-Based Reasoning Retrieval

Science.gov (United States)

Tawfik, Andrew A.; Alhoori, Hamed; Keene, Charles Wayne; Bailey, Christian; Hogan, Maureen

2018-01-01

In case library learning environments, learners are presented with an array of narratives that can be used to guide their problem solving. However, according to theorists, learners struggle to identify and retrieve the optimal case to solve a new problem. Given the challenges novice face during case retrieval, recommender systems can be embedded…

How libraries use publisher metadata

Directory of Open Access Journals (Sweden)

Steve Shadle

2013-11-01

Full Text Available With the proliferation of electronic publishing, libraries are increasingly relying on publisher-supplied metadata to meet user needs for discovery in library systems. However, many publisher/content provider staff creating metadata are unaware of the end-user environment and how libraries use their metadata. This article provides an overview of the three primary discovery systems that are used by academic libraries, with examples illustrating how publisher-supplied metadata directly feeds into these systems and is used to support end-user discovery and access. Commonly seen metadata problems are discussed, with recommendations suggested. Based on a series of presentations given in Autumn 2012 to the staff of a large publisher, this article uses the University of Washington Libraries systems and services as illustrative examples. Judging by the feedback received from these presentations, publishers (specifically staff not familiar with the big picture of metadata standards work would benefit from a better understanding of the systems and services libraries provide using the data that is created and managed by publishers.

LIBRARY MANAGEMNT INFORMATION SYSTEM

Directory of Open Access Journals (Sweden)

Magnolia Tilca

2013-06-01

Full Text Available The focus of any educational institution is the content and services of the university library. The mission of the library is to obtain, organize, preserve and update the information with the greatest possible accuracy, minimum effort and time. This requires automation of the library’s operations. This paper presents a software application for managing the activity of the territorial "Vasile Goldiş" West University library. The application is developed using Visual Basic for Application programming language and using the database management system Microsoft Access 2010. The goal of this application is to optimize the inner workings of local library and to meet the requests of the institution and of the readers.

A Hybrid Recommender System Based on User-Recommender Interaction

OpenAIRE

Zhang, Heng-Ru; Min, Fan; He, Xu; Xu, Yuan-Yuan

2015-01-01

Recommender systems are used to make recommendations about products, information, or services for users. Most existing recommender systems implicitly assume one particular type of user behavior. However, they seldom consider user-recommender interactive scenarios in real-world environments. In this paper, we propose a hybrid recommender system based on user-recommender interaction and evaluate its performance with recall and diversity metrics. First, we define the user-recommender interaction...

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 ...

Map it @ WSU: Development of a Library Mapping System for Large Academic Libraries

Directory of Open Access Journals (Sweden)

Paul Gallagher

2010-06-01

Full Text Available The Wayne State Library System launched its library mapping application in February 2010, designed to help locate materials in the five WSU libraries. The system works within the catalog to show the location of materials, as well as provides a web form for use at the reference desk. Developed using PHP and MySQL, it requires only minimal effort to update using a unique call number overlay mechanism. In addition to mapping shelved materials, the system provides information for any of the over three hundred collections held by the WSU Libraries. Patrons can do more than just locate a book on a shelf: they can learn where to locate reserve items, how to access closed collections, or get driving maps to extension center libraries. The article includes a discussion of the technology reviewed and chosen during development, an overview of the system architecture, and lessons learned during development.

Public libraries in the library regions in the year 2009

Directory of Open Access Journals (Sweden)

Milena Bon

2011-01-01

Full Text Available Purpose: Regional public libraries were initiated in 2003 to connect professional activities of libraries within regional networks and to ensure coordinated library development in a region in cooperation with the Library System Development Centre at the National and University Library performing a coordinating role. The article analyses the performance of public libraries and their integration in regional library networks in order to find out the level of development of conditions of performance of public libraries.Methodology/approach: Statistical data for the year 2009 were the basis for the overview of library activities of ten library regions with regard to applicable legislation and library standards. The level of regional library activities is compared to the socio-economic situation of statistical regions thus representing a new approach to the presentation of Slovenian’s public libraries’ development.Results: Absolute values indicate better development of nine libraries in the central Slovenia region while relative values offer a totally different picture. Four libraries in the region of Nova Gorica prove the highest level of development.Research limitation: Research is limited to the year 2009 and basic statistical analysis.Originality/practical implications: Findings of the analysis are useful for public libraries to plan their development strategy within a region and for financial bodies to provide for adequate financing for library activities in a specific region. The basic condition for successful public library performance is the even and harmonized development of conditions of performance as recommended by library standards.

Recommender systems

OpenAIRE

Lu L.; Medo M.; Yeung C.H.; Zhang Y.-C.; Zhang Z.-K.; Zhou T.

2012-01-01

The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article...

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

Library Online Systems.

Science.gov (United States)

Folda, Linda; And Others

1989-01-01

Issues related to library online systems are discussed in six articles. Topics covered include staff education through vendor demonstrations, evaluation of online public access catalogs, the impact of integrated online systems on cataloging operations, the merits of smart and dumb barcodes, and points to consider in planning for the next online…

An Integrated Library System: Preliminary Considerations.

Science.gov (United States)

Neroda, Edward

Noting difficulties experienced by small to medium sized colleges in acquiring integrated library computer systems, this position paper outlines issues related to the subject with the intention of increasing familiarity and interest in integrated library systems. The report includes: a brief review of technological advances as they relate to…

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…

Case Studies in Library Computer Systems.

Science.gov (United States)

Palmer, Richard Phillips

Twenty descriptive case studies of computer applications in a variety of libraries are presented in this book. Computerized circulation, serial and acquisition systems in public, high school, college, university and business libraries are included. Each of the studies discusses: 1) the environment in which the system operates, 2) the objectives of…

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.

Semantically Enhanced Recommender Systems

Science.gov (United States)

Ruiz-Montiel, Manuela; Aldana-Montes, José F.

Recommender Systems have become a significant area in the context of web personalization, given the large amount of available data. Ontologies can be widely taken advantage of in recommender systems, since they provide a means of classifying and discovering of new information about the items to recommend, about user profiles and even about their context. We have developed a semantically enhanced recommender system based on this kind of ontologies. In this paper we present a description of the proposed system.

St. Lucia, West Indies Ministry of Education Public Library & Information Services: A Status Report with Recommendations.

Science.gov (United States)

Brown, Gerald R., Comp.

This report assesses the current stage of program development in the branch libraries of the Saint Lucia Public Library and Information System (PLIS), based on data collected during September-December 1997 using a branch library questionnaire, site visits, and informal surveys of library users. The vision and philosophical statements used to frame…

Introduction of library administration system using an office computer in the smallscale library

International Nuclear Information System (INIS)

Itabashi, Keizo; Ishikawa, Masashi

1984-01-01

Research Information Center was established in Fusion Research Center at Naka site as a new section of Department of Technical Information of Japan Atomic Energy Research Institute. A library materials management system utilizing an office computer was introduced to provide good services. The system is a total-system centered on services at counter except purchase business and the serviced materials are books, reports, journals and pamphlets. The system has produced good effects on many aspects, e.g. a significantly easy inventory of library materials, and complete removal of user's handwriting for borrowing materials, by using an optical chracter recognition handscanner. Those improvements have resulted in better image of the library. (author)

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…

Library subject guides: A case study of evidence-informed library development

OpenAIRE

Wakeham, Maurice; Roberts, Angharad; Shelley, Jane; Wells, Paul

2012-01-01

This paper describes the process whereby a university library investigated the value of its subject guides to its users. A literature review and surveys of library staff, library users and other libraries were carried out. Existing library subject guides and those of other higher education libraries were evaluated. The project team reported regularly to the wider library team throughout the year long investigation and made recommendations. The project served to develop the professional skills...

SECURING DIGITIZED LIBRARY CIRCULATORY SYSTEM | Olaniyi ...

African Journals Online (AJOL)

Journal Home > Vol 35, No 3 (2016) > ... Despite the potential benefits of Information and Communication Technology (ICT) in library automation, ... The widespread application of the developed system on smart library circulation unit would ...

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

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.

SOKRATOR manual. Format of the recommended nuclear data library for reactor calculations

International Nuclear Information System (INIS)

Kolesov, V.E.; Nikolaev, M.N.

1977-08-01

The formats represent a generalization and extension of the English formats ''Parker, K., the Aldermaston Nuclear Data Library as at May 1963''. (AWRE 0-70/63, September 1963). An important feature of the formats proposed here is the introduction of a special classification of the information according to the type of representation. This makes the system of nuclear data storage more flexible and allows the capabilities of modern computers to be more fully utilized. This complete format description of the SOKRATOR library (Soviet Library of Evaluated Nuclear Data) is a translation from Russian original and its supplement. The document will help the user of SOKRATOR files to understand the physics definitions and coding conventions for the various types of numerical data

Introduction of library administration system using an office computer in the smallscale library

Energy Technology Data Exchange (ETDEWEB)

Itabashi, Keizo; Ishikawa, Masashi

1984-01-01

Research Information Center was established in Fusion Research Center at Naka site as a new section of Department of Technical Information of Japan Atomic Energy Research Institute. A library materials management system utilizing an office computer was introduced to provide good services. The system is a total-system centered on services at counter except purchase business and the serviced materials are books, reports, journals and pamphlets. The system has produced good effects on many aspects, e.g. a significantly easy inventory of library materials, and complete removal of user's handwriting for borrowing materials, by using an optical chracter recognition handscanner. Those improvements have resulted in better image of the library.

Thermal reactor benchmark testing of 69 group library

International Nuclear Information System (INIS)

Liu Guisheng; Wang Yaoqing; Liu Ping; Zhang Baocheng

1994-01-01

Using a code system NSLINK, AMPX master library in WIMS 69 groups structure are made from nuclides relating to 4 newest evaluated nuclear data libraries. Some integrals of 10 thermal reactor benchmark assemblies recommended by the U.S. CSEWG are calculated using rectified PASC-1 code system and compared with foreign results, the authors results are in good agreement with others. 69 group libraries of evaluated data bases in TPFAP interface file are generated with NJOY code system. The k ∞ values of 6 cell lattice assemblies are calculated by the code CBM. The calculated results are analysed and compared

Nuclear libraries for SCALE5.1 system

International Nuclear Information System (INIS)

Vertes, P.

2009-01-01

Codes for preparing master and working AMPX libraries and point-wise nuclear libraries for SCALE5.1 system have been created. Master and working libraries are constructed from multigroup library in matxs form which are produced by means of the NJOY code. The point-wise cross-section library is derived from pend files obtained also by NJOY. The AMPX libraries may contain neutron, gamma production and gamma transport data, as well. The produced master libraries can be used either with stand-alone functional modules or with control modules. An assistant package of programs also has been developed in order to facilitate the usage of NJOY. (Authors)

Nuclear libraries for SCALE5.1 system

International Nuclear Information System (INIS)

Vertes, P.

2009-01-01

Codes for preparing master and working AMPX libraries and point-wise (PW) nuclear libraries for SCALE5.1 system have been created. Master and working libraries are constructed from multigroup library in matxs form which are produced by means of the NJOY code. The PW cross-section library is derived from pend files obtained also by NJOY. The AMPX libraries may contain neutron, gamma production and gamma transport data, as well. The produced master libraries can be used either with stand-alone functional modules or with control modules. An assistant package of programs also has been developed in order to facilitate the usage of NJOY. (author)

Integrated library system in the library of Japan Atomic Energy Research Institute

International Nuclear Information System (INIS)

Yonezawa, Minoru; Mineo, Yukinobu; Itabashi, Keizo

1987-01-01

Integrated library system has been developed using a stand-alone mini-computer in the Japan Atomic Energy Research Institute library. This system consists of three subsystems for serials control, books acquisition and circulation control. Serials control subsystem deals with subscription, acquisition, claiming and inquiry of journals. This has been operating since the beginning of 1985. Book acquisition sub-system, which has been started since April 1986, deals with accounting and cataloguing of books. Circulation control sub-system deals with circulation, statistics compilation, book inventory and retrieval, which has been operating since April 1987. This system contributes greatly not only to the reduction of the circulation work load but also to the promotion of the library services. However, the convenience in circulation processing should be improved for materials without catalogue information stored in the computer. The pertinence for maximum number of books retrieved has to be also reconsidered. (author)

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.

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.

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 ...

Design issues for numerical libraries on scalable multicore architectures

International Nuclear Information System (INIS)

Heroux, M A

2008-01-01

Future generations of scalable computers will rely on multicore nodes for a significant portion of overall system performance. At present, most applications and libraries cannot exploit multiple cores beyond running addition MPI processes per node. In this paper we discuss important multicore architecture issues, programming models, algorithms requirements and software design related to effective use of scalable multicore computers. In particular, we focus on important issues for library research and development, making recommendations for how to effectively develop libraries for future scalable computer systems

Evaluating Library Staff: A Performance Appraisal System.

Science.gov (United States)

Belcastro, Patricia

This manual provides librarians and library managers with a performance appraisal system that measures staff fairly and objectively and links performance to the goals of the library. The following topics are addressed: (1) identifying expectations for quality service or standards of performance; (2) the importance of a library's code of service,…

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....

Graphs of the cross sections in the recommended Monte Carlo cross-section library at the Los Alamos Scientific Laboratory

International Nuclear Information System (INIS)

Soran, P.D.; Seamon, R.E.

1980-05-01

Graphs of all neutron cross sections and photon production cross sections on the Recommended Monte Carlo Cross Section (RMCCS) library have been plotted along with local neutron heating numbers. Values for anti ν, the average number of neutrons per fission, are also given

The Vendors' Corner: Biblio-Techniques' Library and Information System (BLIS).

Science.gov (United States)

Library Software Review, 1984

1984-01-01

Describes online catalog and integrated library computer system designed to enhance Washington Library Network's software. Highlights include system components; implementation options; system features (integrated library functions, database design, system management facilities); support services (installation and training, software maintenance and…

Development of automatic editing system for MCNP library 'autonj'

International Nuclear Information System (INIS)

Maekawa, Fujio; Sakurai, Kiyoshi; Kume, Etsuo; Nomura, Yasushi; Kosako, Kazuaki; Kawasaki, Nobuo; Naito, Yoshitaka

1999-12-01

As an activity of the MCNP High-Temperature Library Production Working Group under the Nuclear Code Evaluation Special Committee of Nuclear Code Committee, the automatic editing system for MCNP library 'autonj' was developed. The autonj includes the NJOY-97 code as its main body, and is a system that enables us to easily produce cross section libraries for MCNP from evaluated nuclear data files such as JENDL-3.2. A temperature dependent library at six temperature points based on JENDL-3.2 was produced by using autonj. The autonj system and the temperature dependent library were installed on the JAERI AP3000 computer. (author)

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.

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...... an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... 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...

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...... an evaluation of four existing knowledge classification schemes with respect to these requirements. This evaluation helped us identify a classification scheme, which we have implemented in the current version of the Wikipedia Recommender System....... 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...

Developing Relationships between Academic Libraries and the State Library of Pennsylvania. A Report of Research with Recommendations.

Science.gov (United States)

Townley, Charles T.

The Pennsylvania State Library's Office of Resource Sharing and Academic Libraries conducted a survey in 1986 to assess the needs of academic libraries in the state. Data were gathered via a questionnaire that was mailed to directors of 180 libraries at Pennsylvania postsecondary institutions offering at least a two-year degree. Usable responses…

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.

Affinity Strings: Enterprise Data for Resource Recommendations

Directory of Open Access Journals (Sweden)

Shane Nackerud

2008-12-01

Full Text Available The University of Minnesota Libraries have created a MyLibrary portal, with databases and e-journals targeted to users, based on their affiliations. The University's enterprise authentication system provides an "affinity string", now used to personalize the MyLibrary portal. This affinity string automates discovery of a user's relationship to the University--describing a user's academic department and degree program or position at the University. Affinity strings also provide the Libraries with an anonymized view of resource usage, allowing data collection that respects users' privacy and lays the groundwork for automated recommendation of relevant resources based on the practices and habits of their peers.

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.

Automated Library System Specifications.

Science.gov (United States)

1986-06-01

Battelle Software Products), TOMAS (Carlyle Systems, Inc), ULYSIS/84 (Universal Library Systems), Unicorn Collection Management System (Sirsi Corp...STOR{ AGE CAPA3ILITY Dependent on mixc of processors an~d dikdrives. ’KxIUI OFREORS Depends upon mix of application. programs, and includes...BASIC -- - -Ultiniate, Prime, DEC VAXv PZRIHERIALS SUPPORTED Wyse, Viewpoints, Inter.ec lig;htpens, HP Ili~htpens, C-Itoh STO AGE CAPABILITY 66 MB to

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

Influence of Library Environments, Instructional Programs, and User-Librarian Collaborations on Library Use by Undergraduate Students in Nigeria

Directory of Open Access Journals (Sweden)

Amusa Oyintola Isiaka

2013-06-01

Full Text Available This study employed a survey method to investigate the influence of library environments, user education, and user-librarian collaborations on the use of academic libraries by undergraduate students in Nigeria. 2,676 students from six universities in the South-West Nigeria responded to the questionnaire. The findings revealed that the academic libraries are less used because of the availability of alternative information systems (such as the Internet, reading-rooms in residence halls and apartments, poor library environment, inadequate user education programs, and absence of formal user-librarian collaboration programs. It is recommended that the internal and external environment of the libraries be improved, that user education programs be extended to 2 semesters, and that user-librarian collaborations be institutionalised.

Booth Library On-Line Circulation System (BLOC

Directory of Open Access Journals (Sweden)

Paladugu V. Rao

1971-06-01

Full Text Available An on-line circulation system developed at a relatively small university library demonstrates that academic libraries with limited funds can develop automated systems utilizing parent institution's computer facilities in a time-sharing mode. In operation since September 1968, using an IBM 360/50 computer and associated peripheral equipment, it provides control over all stack books.

Recommender Systems in Commercial Use

OpenAIRE

Aldrich, Susan E.

2011-01-01

Commercial recommender systems are deployed by marketing teams to increase revenue and/or personalize user experience. Marketers evaluate recommender systems not on its algorithms but on how well the vendor‘s expertise and interfaces will support achieving business goals. Driven by a business model that pays based on recommendation success, vendors guide clients through continuous optimization of recommendations. While recommender technology is mature, the solutions and market are still young...

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

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...

Practical Tips for Construction of Custom Peptide Libraries and Affinity Selection by Using Commercially Available Phage Display Cloning Systems

Directory of Open Access Journals (Sweden)

Keisuke Fukunaga

2012-01-01

Full Text Available Phage display technology is undoubtedly a powerful tool for affinity selection of target-specific peptide. Commercially available premade phage libraries allow us to take screening in the easiest way. On the other hand, construction of a custom phage library seems to be inaccessible, because several practical tips are absent in instructions. This paper focuses on what should be born in mind for beginners using commercially available cloning kits (Ph.D. with type 3 vector and T7Select systems for M13 and T7 phage, respectively. In the M13 system, Pro or a basic amino acid (especially, Arg should be avoided at the N-terminus of peptide fused to gp3. In both systems, peptides containing odd number(s of Cys should be designed with caution. Also, DNA sequencing of a constructed library before biopanning is highly recommended for finding unexpected bias.

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.

IAEA technical meeting on nuclear data library for advanced systems - Fusion devices

International Nuclear Information System (INIS)

Forrest, R.; Mengoni, A.

2008-04-01

A Technical Meeting on 'Nuclear Data Library for Advanced Systems - Fusion Devices' was held at the IAEA Headquarters in Vienna from 31 October to 2 November 2007. The main objective of the initiative has been to define a proposal and detailed plan of activities for a Co-ordinated Research Project on this subject. Details of the discussions which took place at the meeting, including a review of the current activities in the field, a list of recommendations and a proposed timeline schedule for the CRP are summarized in this report. (author)

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

African Journals Online (AJOL)

Information Technologist (The) ... and querying library records, maintains defaulting patrons overdue fines account while the OPAC empl oy ... The automated system generates reports necessary for an informed management decision making.

Recommender Systems for Learning

CERN Document Server

Manouselis, Nikos; Verbert, Katrien; Duval, Erik

2013-01-01

Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.

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.

End-user satisfaction analysis on library management system unnes using technology acceptance model towards national standard of integrated library

Science.gov (United States)

Hardyanto, W.; Purwinarko, A.; Adhi, M. A.

2018-03-01

The library which is the gate of the University should be supported by the existence of an adequate information system, to provide excellent service and optimal to every user. Library management system that has been in existence since 2009 needs to be re-evaluated so that the system can meet the needs of both operator and Unnes user in particular, and users from outside Unnes in general. This study aims to evaluate and improve the existing library management system to produce a system that is accountable and able to meet the needs of end users, as well as produce a library management system that is integrated Unnes. Research is directed to produce evaluation report with Technology Acceptance Model (TAM) approach and library management system integrated with the national standard.

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...

Management-retrieval code system of fission barrier parameter sub-library

International Nuclear Information System (INIS)

Zhang Limin; Su Zongdi; Ge Zhigang

1995-01-01

The fission barrier parameter (FBP) library, which is a sub-library of Chinese Evaluated Nuclear Parameter library (CENPL), stores various popular used fission barrier parameters from different historical period, and could retrieve the required fission barrier parameters by using the management retrieval code system of the FBP sub-library. The function, feature and operation instruction of the code system are described briefly

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.

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…

Expert Systems for Libraries at SCIL [Small Computers in Libraries]'88.

Science.gov (United States)

Kochtanek, Thomas R.; And Others

1988-01-01

Six brief papers on expert systems for libraries cover (1) a knowledge-based approach to database design; (2) getting started in expert systems; (3) using public domain software to develop a business reference system; (4) a music cataloging inquiry system; (5) linguistic analysis of reference transactions; and (6) a model of a reference librarian.…

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.

Cryptographically-Enhanced Privacy for Recommender Systems

NARCIS (Netherlands)

Jeckmans, Arjan

2014-01-01

Automated recommender systems are used to help people find interesting content or persons in the vast amount of information available via the internet. There are different types of recommender systems, for example collaborative filtering systems and content-based recommender systems. However, all

Context-aware recommender system based on ontology for recommending tourist destinations at Bandung

Science.gov (United States)

Rizaldy Hafid Arigi, L.; Abdurahman Baizal, Z. K.; Herdiani, Anisa

2018-03-01

Recommender System is software that is able to provide personalized recommendation suits users’ needs. Recommender System has been widely implemented in various domains, including tourism. One approach that can be done for more personalized recommendations is the use of contextual information. This paper proposes a context aware recommender based ontology system in the tourism domain. The system is capable of recommending tourist destinations by using user preferences of the categories of tourism and contextual information such as user locations, weather around tourist destinations and close time of destination. Based on the evaluation, the system has accuracy of of 0.94 (item recommendation precision evaluated by expert) and 0.58 (implicitly from system-end user interaction). Based on the evaluation of user satisfaction, the system provides a satisfaction level of more than 0.7 (scale 0 to 1) for speed factors for providing liked recommendations (PE), informative description of recommendations (INF) and user trust (TR).

Planning an Integrated On-Line Library system (IOLS)

Science.gov (United States)

1989-03-01

Logical Workflow for Circulation of Library Materials ............. 14 Figure 9. Detail of Circulation of Libary Materials ...................... 15...Operating Honolulu, HI 96826 System (808) 947-4441 DATA RESEARCH ASSOCIATES, Inc. (ATLAS) 9270 Olive Blvd. St. Louis, MO 01775 DIGITAL EQUIPMENT CORP... DIGITAL EQUIPMENT CORP. Stow, MA 01775 (617) 897-7163 EYRING LIBRARY SYSTEMS (CARL) 5280 S. West, Suite E260 Salt Lake City, UT 84107 TANDEM SYSTEMS

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.

Selecting a Relational Database Management System for Library Automation Systems.

Science.gov (United States)

Shekhel, Alex; O'Brien, Mike

1989-01-01

Describes the evaluation of four relational database management systems (RDBMSs) (Informix Turbo, Oracle 6.0 TPS, Unify 2000 and Relational Technology's Ingres 5.0) to determine which is best suited for library automation. The evaluation criteria used to develop a benchmark specifically designed to test RDBMSs for libraries are discussed. (CLB)

Between the Sheets: a Library-wide Inventory with Google

Directory of Open Access Journals (Sweden)

Craig Boman

2017-10-01

Full Text Available When it comes to taking an inventory of physical items, libraries often rely on their traditional integrated library system’s (ILS à la carte add ons; outside vendors; or other possibly outdated, complex, and often expensive methods. For libraries with shrinking budgets and other limited resources, high costs can put these methods out of reach. At the University of Dayton Libraries, we set out to develop an inexpensive and reasonably easy-to-use method for conducting a library-wide physical item inventory. In this article, we explain a custom built Google Sheets-based library inventory system, along with some code for the implementation of a RESTful API (written in PHP that interacts with our ILS. We will also explain our use of Google Apps scripts in our Google Sheet, which are crucial to our systems. Although this method used a specific ILS (Innovative Interfaces' Sierra product and custom-built RESTful APIs, it may be possible to use similar approaches with other ILS software. Additional notes include areas for improvement and recommendations for interoperability with other ILS systems.

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.

Enhanced digital library system that supports sustainable knowledge

African Journals Online (AJOL)

Enhanced digital library system that supports sustainable knowledge: A focus ... This research work provides a Web-Based University library, ability to access the ... and generates pins to authorize bonafide students and staff of the University.

Managing library and information systems in the digital world ...

African Journals Online (AJOL)

This paper discusses the challenges and opportunities towards managing library and information system in relation to access the digital world's knowledge. Academic libraries are expected to provide access to information and digital material resources available within their reach. However, the Nigerian libraries especially ...

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…

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.

Recommended system of application and development

Science.gov (United States)

Wang, Wei

2018-04-01

A recommender system is a project that helps users identify their wishes and needs. The recommender system has been successfully applied to many e-commerce environments, such as news, film, music, books and other areas of recommendation. This paper mainly discusses the application of recommendation technology in software engineering, data and knowledge engineering, configurable projects and persuasion technology, and summarizes the development trend of recommendation technology in the future.

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.

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...

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.

Application of expert system in library and information science: a review

International Nuclear Information System (INIS)

Bhatti, A.R.

1988-09-01

This study seeks to provide an overview of the current state of development in the application of expert system in technology in the field of library and information science. The study starts briefly looking into the capabilities of Artificial Intelligence (AI) in general and then its relevance to LIS (Library Information System) work. A basic introduction to expert system technology and outgrowth of AI research is given. The major components of a generalized expert system are discussed in some detail, and the ways in which system development can be approached are looked at. The main area of expert system applications in library and information science are discussed, looking at cataloguing, classification, reference work and library management etc. (author)

School Library Supplement. Putting Your Library Automation System to Work [and] Using Videodiscs in Research Projects [and] Library Security: What to Look For [and] Expanding Library/Media Services with Media Retrieval [and] How to Network CD-ROMs (and) The School Library Resource Directory.

Science.gov (United States)

Karpisek, Marian; And Others

1995-01-01

Presents five articles and a company resource directory to help librarians successfully incorporate technology into school libraries. Discusses actual situations, examines student needs, and gives advice to help librarians with library automation systems, videodiscs, library security systems, media retrieval, networking CD-ROMs, and locating…

Library Automation Alternatives in 1996 and User Satisfaction Ratings of Library Users by Operating System.

Science.gov (United States)

Cibbarelli, Pamela

1996-01-01

Examines library automation product introductions and conversions to new operating systems. Compares user satisfaction ratings of the following library software packages: DOS/Windows, UNIX, Macintosh, and DEC VAX/VMS. Software is rated according to documentation, service/support, training, product reliability, product capabilities, ease of use,…

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.

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.

Characteristics of knowledge content in a curated online evidence library.

Science.gov (United States)

Varada, Sowmya; Lacson, Ronilda; Raja, Ali S; Ip, Ivan K; Schneider, Louise; Osterbur, David; Bain, Paul; Vetrano, Nicole; Cellini, Jacqueline; Mita, Carol; Coletti, Margaret; Whelan, Julia; Khorasani, Ramin

2018-05-01

To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation. The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified. The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P < .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were "single-decision," "branching," and "score-based." Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations. In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.

Managing Research Libraries in Developing Economy | Ahmed ...

African Journals Online (AJOL)

This paper discusses managing research libraries in developing economy. The concepts of special libraries, funding of research libraries, the need for training and retraining of library staff and resources sharing networking were highlighted. The paper recommends that research Institutes need to re-order their priorities ...

Modelica Library for Building Heating, Ventilation and Air-Conditioning Systems

Energy Technology Data Exchange (ETDEWEB)

Wetter, Michael

2009-06-17

This paper presents a freely available Modelica library for building heating, ventilation and air conditioning systems. The library is based on the Modelica.Fluid library. It has been developed to support research and development of integrated building energy and control systems. The primary applications are controls design, energy analysis and model-based operation. The library contains dynamic and steady-state component models that are applicable for analyzing fast transients when designing control algorithms and for conducting annual simulations when assessing energy performance. For most models, dimensional analysis is used to compute the performance for operating points that differ from nominal conditions. This allows parameterizing models in the absence of detailed geometrical information which is often impractical to obtain during the conceptual design phase of building systems. In the first part of this paper, the library architecture and the main classes are described. In the second part, an example is presented in which we implemented a model of a hydronic heating system with thermostatic radiator valves and thermal energy storage.

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.

QUANTITATIVE (GIS AND QUALITATIVE (BPE ASSESSMENTS OF LIBRARY PERFORMANCE

Directory of Open Access Journals (Sweden)

Wolfgang F.E. Preiser

2008-03-01

Full Text Available This article accounts for the methodological approach used in the creation of the Facilities Master Plan for the Public Library of Cincinnati and Hamilton County in the United States. Libraries are undergoing significant changes with regards to their advancing functions. They have become community centers for learning, whether for children, teens, adults, or seniors. This study uses an approach combining GIS- Geographic Information System with BPE-Building Performance Evaluation to score and categorize branch libraries based on their level of performance. A number of recommended strategies are derived to achieve greater cost-effectiveness and improved service.

Redistributing Stock in Library Systems with a Depot

NARCIS (Netherlands)

van der Heide, Gerlach; Roodbergen, Kees Jan; van Foreest, Nicky

Public library organizations often utilize depots for carrying out shipments to libraries in case of stock-outs and for storing low demand rental items at low cost. Similar systems may be employed by rental companies for other rental products such as tools, DVDs, and jewelry. Since shipments deplete

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.

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)

The JPL Library information retrieval system

Science.gov (United States)

Walsh, J.

1975-01-01

The development, capabilities, and products of the computer-based retrieval system of the Jet Propulsion Laboratory Library are described. The system handles books and documents, produces a book catalog, and provides a machine search capability. Programs and documentation are available to the public through NASA's computer software dissemination program.

Receiving recommendations and providing feedback : the user-experience of a recommender system

NARCIS (Netherlands)

Knijnenburg, B.P.; Willemsen, M.C.; Hirtbach, S.; Buccafurri, F.; Semeraro, G.

2010-01-01

This paper systematically evaluates the user experience of a recommender system. Using both behavioral data and subjective measures of user experience, we demonstrate that choice satisfaction and system effectiveness increase when a system provides personalized recommendations (compared to the same

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.

Explaining the user experience of recommender systems

NARCIS (Netherlands)

Knijnenburg, B.P.; Willemsen, M.C.; Gantner, Z.; Soncu, H.; Newell, C.

2012-01-01

Research on recommender systems typically focuses on the accuracy of prediction algorithms. Because accuracy only partially constitutes the user experience of a recommender system, this paper proposes a framework that takes a user-centric approach to recommender system evaluation. The framework

NILDE, Network Inter Library Document Exchange: An Italian Document Delivery System

Science.gov (United States)

Brunetti, F.; Gasperini, A.; Mangiaracina, S.

2007-10-01

This poster presents NILDE, a document delivery system supporting the exchange of documents via the internet. The system has been set up by the Central Library of the National Research Council of Bologna (Italy) in order to make use of new internet technology, to promote cooperation between Italian university libraries and research libraries, and to achieve quick response times in satisfying DD requests. The Arcetri Astrophysical Observatory Library was the first astronomical library to join the NILDE project from its earliest days in 2002. Many were the reasons for this choice: automation of the DD processes, security and reliability of the network, creation of usage statistics and reports, reduction of DD System management costs and so on. This work describes the benefits of NILDE and discusses the role of an organized document delivery system as an important tool to cope with the difficult constraints of the publishing market.

An Affordable Microcomputer Library Information System Developed by Georgetown University.

Science.gov (United States)

Broering, Naomi C.

1984-01-01

Discusses development of a library information system by Georgetown University Medical Center's Dahlgren Memorial Library; describes its components, including online catalog and OCLC interface, circulation, serials control, acquisitions, networking/interlibrary loans, word processing and mini-Medline system; and discusses user reaction, staff…

Avoiding congestion in recommender systems

International Nuclear Information System (INIS)

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

2014-01-01

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. (paper)

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.

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

Recommendation-Aware Smartphone Sensing System

OpenAIRE

Chen, Mu-Yen; Wu, Ming-Ni; Chen, Chia-Chen; Chen, Young-Long; Lin, Hsien-En

2014-01-01

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 Indoo...

Providing Access to Library Automation Systems for Students with Disabilities.

Science.gov (United States)

California Community Colleges, Sacramento. High-Tech Center for the Disabled.

This document provides information on the integration of assistive computer technologies and library automation systems at California Community Colleges in order to ensure access for students with disabilities. Topics covered include planning, upgrading, purchasing, implementing and using these technologies with library systems. As information…

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.

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…

Research on Current Trends and Developments in Library Automation Systems.

Science.gov (United States)

Clyde, Laurel A.

A research project was undertaken in 1992 in order to identify, describe, and analyze current trends and developments in library automation systems and library software. The starting point is work conducted in 1988/1989 that formed the foundation of the book "Computer Software for School Libraries: A Directory." A 1992 survey of software…

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...

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.

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.

The Energy Science and Technology Database on a local library system: A case study at the Los Alamos National Research Library

Energy Technology Data Exchange (ETDEWEB)

Holtkamp, I.S.

1994-10-01

This paper presents an overview of efforts at Los Alamos National Laboratory to acquire and mount the Energy Science and Technology Database (EDB) as a citation database on the Research Library`s Geac Advance system. The rationale for undertaking this project and expected benefits are explained. Significant issues explored are loading non-USMARC records into a MARC-based library system, the use of EDB records to replace or supplement in-house cataloging of technical reports, the impact of different cataloging standards and database size on searching and retrieval, and how integrating an external database into the library`s online catalog may affect staffing and workflow.

Cross-section library and processing techniques within the SCALE system

International Nuclear Information System (INIS)

Westfall, R.M.

1986-01-01

A summary of each of the SCALE system features involved in problem-dependent cross section processing is presented. These features include criticality libraries, shielding libraries, the Standard Composition Library, the SCALE functional modules: BONAMI-S, NITAWL-S, XSDRNPM-S, ICE-S, and the Material Information Processor. The automated procedure for cross-section processing is described with examples. 15 refs

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

International Nuclear Information System (INIS)

Jeong, Yonhong; Han, Jae-Jun; Chang, Sunyoung; Shim, Hye-Won; Ahn, Seungho

2016-01-01

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

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.

Panorama of recommender systems to support learning

OpenAIRE

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

2015-01-01

This chapter presents an analysis of recommender systems in Technology-Enhanced 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 systems from 35 different countries have been investigated and categorised according to a given classification framework. The reviewed systems have been classified into 7 clusters according to their c...

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.

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

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.

A CONCEPT FOR NATIONAL NUCLEAR FORENSIC LIBRARIES

International Nuclear Information System (INIS)

Wacker, John F.; Curry, Michael

2010-01-01

The interpretation of data from the nuclear forensic analysis of illicit nuclear material of unknown origin requires comparative data from samples of known origin. One way to provide such comparative data is to create a system of national nuclear forensics libraries, in which each participating country stores information about nuclear or other radioactive material that either resides in or was manufactured by that country. Such national libraries could provide an authoritative record of the material located in or produced by a particular country, and thus forms an essential prerequisite for a government to investigate illicit uses of nuclear or other radioactive material within its borders. We describe the concept of the national nuclear forensic library, recommendations for content and structure, and suggested querying methods for utilizing the information for addressing nuclear smuggling.

New ENDF/B-7.0 library

International Nuclear Information System (INIS)

Oblozinsky, P.

2008-01-01

We describe the new version of the Evaluated Nuclear Data File, Endf/B-7.0, of recommended nuclear data for advanced nuclear science and technology applications. The library, produced by the US Cross Section Evaluation Working Group, was released in December 2006. The library contains data in 14 sub-libraries, primarily for reactions with incident neutrons, protons and photons, based on the experimental data and nuclear reaction theory predictions. The neutron reaction sub-library contains data for 393 materials. The new library was extensively tested and shows considerable improvements over the earlier Endf/B-6.8 library. (author)

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,

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…

TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

OpenAIRE

Biljana PETREVSKA; Saso KOCESKI

2012-01-01

The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory perfo...

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…

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.

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.

[Primary care resources available in digital libraries in Spanish Autonomous Regions].

Science.gov (United States)

Juan-Quilis, Verónica

2013-03-01

The Statement by the Spanish Society of Family and Community Medicine (SemFYC) on access to scientific information, highlights the need for providing digital libraries with certain resources in Autonomous Regions. The primary goal is to study the evidence-based medicine (EBM) coverage that SemFYC recommends regional virtual libraries. The regional health virtual libraries were identified and the access provided to health professionals, Internet presence, remote access and resources were studied. The results suggest there is ample coverage in 8 Autonomous Regions. At the top of the list was, Health Sciences Virtual Library of Navarre, the Balearic Islands Health Sciences Virtual Library, and Virtual Library of the Andalusian Public Health System. The present study needs to be extended to the other biomedical sciences, in order to obtain more accurate results. Copyright © 2012 Elsevier España, S.L. All rights reserved.

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.

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.

It comes with the territory handling problem situations in libraries, rev ed

CERN Document Server

Turner, Anne M

2004-01-01

""Practical...useful""--Booklist; ""order this book immediately...interesting...entertaining and educational...outstanding...timely and useful--a must for all sizes and types of libraries""--Library Journal; ""good...recommended""--Public Libraries; ""Turner has revised and updated this classic guidebook that provides creative and sensible ways for handling sticky situations in public libraries""--SRRT Newletter; ""highly recommended""--Public Services Quarterly; ""well written...engaging...very helpful and timely""--Reference Quarterly

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…

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.

A trajectory-based recommender system for tourism

OpenAIRE

Baraglia, Ranieri; Frattari, Claudio; Muntean, Cristina Ioana; Nardini, Franco Maria; Silvestri, Fabrizio

2012-01-01

Recommendation systems provide focused information to users on a set of objects belonging to a specific domain. The proposed recommender system provides personalized suggestions about touristic points of interest. The system generates recommendations, consisting of touristic places, according to the current position of a tourist and previously collected data describing tourist movements in a touristic location/city. The touristic sites correspond to a set of points of interest identified a pr...

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.

Presentation of the selected French libraries and the French library system

Directory of Open Access Journals (Sweden)

Moja Kotar

2007-01-01

Full Text Available The Selected French libraries (Bibliotheque nationale de France, Bibliotheque publique d’information, multimedia library of the Cité des sciences et de l’industrie as well as Paris public libraries are presented in the article. France does not have a union catalogue at the national level, therefore libraries use different platforms for shared cataloguing and compile more union catalogues. According to their needs, French libraries join into consortia for the acquisition of electronic resources, which can be either geographically or thematically delimited or formed by the institutions of the same status. The author believes that the Slovenian library network works well considering much smaller budget for culture and higher education in comparison with France. To improve its performance, more funds would have to be allocated and higher reputation of the library profession achieved, comparable to the situation in France. Digitization of resources is the area where the Slovenian librarianship lags most behind the French one.

Recent Developments of the Modelica"Buildings" Library for Building Energy and Control Systems

Energy Technology Data Exchange (ETDEWEB)

Wetter, Michael; Zuo, Wangda; Nouidui, Thierry Stephane

2011-04-01

At the Modelica 2009 conference, we introduced the Buildings library, a freely available Modelica library for building energy and control systems. This paper reports the updates of the library and presents example applications for a range of heating, ventilation and air conditioning (HVAC) systems. Over the past two years, the library has been further developed. The number of HVAC components models has been doubled and various components have been revised to increase numerical robustness.The paper starts with an overview of the library architecture and a description of the main packages. To demonstrate the features of the Buildings library, applications that include multizone airflow simulation as well as supervisory and local loop control of a variable air volume (VAV) system are briefly described. The paper closes with a discussion of the current development.

Library Information System Time-Sharing (LISTS) Project. Final Report.

Science.gov (United States)

Black, Donald V.

The Library Information System Time-Sharing (LISTS) experiment was based on three innovations in data processing technology: (1) the advent of computer time-sharing on third-generation machines, (2) the development of general-purpose file-management software and (3) the introduction of large, library-oriented data bases. The main body of the…

Medical Library Association

Science.gov (United States)

... Next Generation Data Sciences Challenges in Health and Biomedicine Fri November 3, 2017 The Medical Library Association ... Next Generation Data Science Challenges in Health and Biomedicine. MLA's comments and recommendations will help formulate strategic ...

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.

Recommendation System Based on Fuzzy Cognitive Map

OpenAIRE

Wei Liu; Linzhi Gao

2014-01-01

With the increase of data volume and visitor volume, the website faces great challenge in the environment of network. How to know the users’ requirements rapidly and effectively and recommend the required information to the user becomes the research direction of all websites. The researchers of recommendation system propose a series of recommendation system models and algorithms for the user. The common challenge faced by these algorithms is how to judge the user intention and recommend...

Colorado Academic Library Master Plan, Spring 1982.

Science.gov (United States)

Breivik, Patricia Senn; And Others

Based on a need to assess current library strengths and weaknesses and to project potential library roles in supporting higher education, this master plan makes a series of recommendations to Colorado's academic libraries. It is noted that the plan was endorsed by both the Colorado Commission on Higher Education and the Colorado State Department…

Automation in Records Management in University Libraries in Nigeria

African Journals Online (AJOL)

... State university libraries and less archival record were automated in both Federal and State university libraries, it was recommended that State university libraries should follow the lead of Federal university libraries by automating their records, this will go a long way to make information retrieval and accessibility easier.

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.

When the library is located in prime real estate: a case study on the loss of space from the Duke University Medical Center Library and Archives.

Science.gov (United States)

Thibodeau, Patricia L

2010-01-01

The Duke University Medical Center Library and Archives is located in the heart of the Duke Medicine campus, surrounded by Duke Hospital, ambulatory clinics, and numerous research facilities. Its location is considered prime real estate, given its adjacency to patient care, research, and educational activities. In 2005, the Duke University Library Space Planning Committee had recommended creating a learning center in the library that would support a variety of educational activities. However, the health system needed to convert the library's top floor into office space to make way for expansion of the hospital and cancer center. The library had only five months to plan the storage and consolidation of its journal and book collections, while working with the facilities design office and architect on the replacement of key user spaces on the top floor. Library staff worked together to develop plans for storing, weeding, and consolidating the collections and provided input into renovation plans for users spaces on its mezzanine level. The library lost 15,238 square feet (29%) of its net assignable square footage and a total of 16,897 (30%) gross square feet. This included 50% of the total space allotted to collections and over 15% of user spaces. The top-floor space now houses offices for Duke Medicine oncology faculty and staff. By storing a large portion of its collection off-site, the library was able to remove more stacks on the remaining stack level and convert them to user spaces, a long-term goal for the library. Additional space on the mezzanine level had to be converted to replace lost study and conference room spaces. While this project did not match the recommended space plans for the library, it underscored the need for the library to think creatively about the future of its facility and to work toward a more cohesive master plan.

Developing Plugin e-DDC as an Additional Application for Senayan Library Management System with PHP Language Programming and MySQL Database

Directory of Open Access Journals (Sweden)

Mohamad Rotmianto

2016-07-01

Full Text Available Senayan Library Management System, usually called as SLiMS dan e-DDC (electronic Dewey Decimal Classification, is an application for library that now is used widely because it is easy to use, guaranteed of updating from the provider, and free. SLiMs and e-DDC is actually two separated application, but in the practice, it is possible and recommended to be used together. SLiMS is used as a tool of library automation, meanwhile e-DDC functions to help finding collection classification number. Some users of SLiMS and e-DDC have suggested to develop SLiMS that is integral with e-DDC, so the use of both application can be practical which can make the librarian easier to manage the library. Based on the suggestion, the writer and e-DDC team finally created and designed additional application which is called plugin in SLiMS automation system that contained e-DDC. The plugin was created using PHP MySQL and MySQL database. The purpose of this paper is to enrich the reference of library application development, especially that is based on Free Open Source Software (FOSS. The method used is Research and Development method. The result was the Plugin e-DDC for SLiMS was finished and released on May 2, 2015 to celebrate National Education Day.

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

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.

Study of college library appealing information system: A case of Longyan University

Science.gov (United States)

Liao, Jin-Hui

2014-10-01

The complaints from the readers at university libraries mainly focus on the aspects of service attitude, quality of service, reading environment, the management system, etc. Librarians should realize that reader complaints can actually promote the role of the library service and communicate with readers who complain in a friendly manner. In addition, the Longyan University library should establish an internal management system, improve library hardware facilities, improve the quality of librarians and optimize the knowledge structure of librarians, so as to improve the quality of the service for readers and reduce complaints. Based on this point, we have designed an appealing information system in cryptography machine basis, to provide readers online, remote and anonymous complaint functions.

Celebrating Co-operation among Saskatchewan’s Libraries: The Multitype Library Board, 1996-2016

Directory of Open Access Journals (Sweden)

Michael Shires

2016-03-01

Full Text Available Saskatchewan’s Multitype Library Board (MLB celebrates its 20th anniversary in 2016. It was established under the passage of the provincial government’s The Libraries Co- operation Act in 1996 to facilitate the co-operative development of the multitype library system in Saskatchewan. This legislation is unique in Canada. The MLB is a Minister of Education Advisory Board and it provides a forum to promote and facilitate co-operation among over 320 public libraries in 10 provincial systems, 25 post-secondary libraries, 755 school libraries, several special libraries, and other information providers. Major milestones of the MLB include helping to eliminate the Provincial Sales Tax on library subscriptions, establishing a provincial digitization plan, and creating a cross-sector database licensing program that has resulted in a projected value of 14.8 million dollars to Saskatchewan users in 2014. The development of the MLB and the impact of the programs it has initiated will be discussed, and recommendations for developing a collaborative initiative will be provided. Le Multitype Library Board (MLB de Saskatchewan fête son 20e anniversaire en 2016. Il était établi sous l’Acte The Libraries Co-operation du parti Libéral en 1996 pour faciliter le développement coopératif du système de bibliothèque Multitype en Saskatchewan. Cette législation est unique au Canada. Le MLB est un comité consultatif du ministère de l’Éducation et il fournit un forum pour promouvoir et faciliter la coopération entre plus de 320 bibliothèques publiques dans dix systèmes provinciaux, 25 bibliothèques postsecondaires, 755 bibliothèques scolaires, plusieurs bibliothèques spéciales, et d’autres fournisseurs d’informations. Les étapes importantes du MLB comprennent, à aider à éliminer les taxes de vente provinciale sur les abonnements aux bibliothèques, à établir un plan provincial de numérisation, et à créer un programme de licence

Multiple Case Studies of Public Library Systems in New York State: Service Decision-Making Processes

Science.gov (United States)

Ren, Xiaoai

2012-01-01

This research examined the functions and roles of public library systems in New York State and the services they provide for individual libraries and the public. The dissertation further studied the service decision-making processes at three selected New York State cooperative public library systems. Public library systems have played an important…

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...

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.

77 FR 42767 - Advisory Committee on Presidential Library-Foundation Partnerships

Science.gov (United States)

2012-07-20

... Presidential Library-Foundation Partnerships. In accordance with Office of Management and Budget (OMB) Circular... Committee members provide on issues affecting the functioning of existing Presidential libraries and library... recommendations in its implementation of strategies for the efficient operation of the Presidential libraries...

75 FR 42790 - Advisory Committee on Presidential Library-Foundation Partnerships.

Science.gov (United States)

2010-07-22

... Presidential Library-Foundation Partnerships. In accordance with Office of Management and Budget (OMB) Circular... Committee members provide on issues affecting the functioning of existing Presidential libraries and library... recommendations in its implementation of strategies for the efficient operation of the Presidential libraries. FOR...

A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

Directory of Open Access Journals (Sweden)

Yibo Wang

2018-01-01

Full Text Available Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the proposed approach, we first use a hybrid recommendation method to generate a preliminary recommendation list. Then sentiment analysis is employed to optimize the list. Finally, the hybrid recommender system with sentiment analysis is implemented on Spark platform. The hybrid recommendation model with sentiment analysis outperforms the traditional models in terms of various evaluation criteria. Our proposed method makes it convenient and fast for users to obtain useful movie suggestions.

The laughing librarian a history of American library humor

CERN Document Server

Smith, Jeanette C

2012-01-01

""Should be required reading for all librarians and library-school students""--Booklist; ""a must have...recommend""--Library History Buff Blog; ""charts the largely unexplored territory of library wit and satire, both inside and outside the profession""--C&RL News.

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.

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.

Importance of thermal comfort for library building in Kuching, Sarawak

Energy Technology Data Exchange (ETDEWEB)

Ibrahim, S.H.; Baharun, A.; Abdul Mannan, M.D.; Abang Adenan, D.A. [Department of Civil Engineering, Faculty of Engineering, University Malaysia Sarawak (UNIMAS), 94300 Kota Samarahan, Sarawak (Malaysia)

2013-07-01

Malaysian Government takes an initiative to provide library in housing areas to improve the quality of human capital. However, the government has to evaluate every aspect of their provision to ensure the services provided meet the demands of the users, including the aspect of thermal comfort in the building. For this study, a library constructed using Industrialised Building System (IBS) are selected for thermal comfort evaluation. The data were analyzed using Corrected Effective Temperature (CET) index. From the data analysis, it shows that thermal comfort in the library could not be achieved most of the time unless when the mechanical cooling is used. A series of technical design improvements are then recommended to improve the thermal comfort inside the library by incorporating construction details without increasing the cost.

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.

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.

iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations

Science.gov (United States)

Vanfretti, L.; Rabuzin, T.; Baudette, M.; Murad, M.

The iTesla Power Systems Library (iPSL) is a Modelica package providing a set of power system components for phasor time-domain modeling and simulation. The Modelica language provides a systematic approach to develop models using a formal mathematical description, that uniquely specifies the physical behavior of a component or the entire system. Furthermore, the standardized specification of the Modelica language (Modelica Association [1]) enables unambiguous model exchange by allowing any Modelica-compliant tool to utilize the models for simulation and their analyses without the need of a specific model transformation tool. As the Modelica language is being developed with open specifications, any tool that implements these requirements can be utilized. This gives users the freedom of choosing an Integrated Development Environment (IDE) of their choice. Furthermore, any integration solver can be implemented within a Modelica tool to simulate Modelica models. Additionally, Modelica is an object-oriented language, enabling code factorization and model re-use to improve the readability of a library by structuring it with object-oriented hierarchy. The developed library is released under an open source license to enable a wider distribution and let the user customize it to their specific needs. This paper describes the iPSL and provides illustrative application examples.

Interpersonal Conflicts In Ghanaian University Libraries | Kofi ...

African Journals Online (AJOL)

Results indicate that personality differences, superior/subordinate relationships, power struggle and competition are responsible for interpersonal conflicts in Ghanaian university libraries. It then makes recommendations on how to manage the various types of interpersonal conflicts within university libraries. Keywords: ...

Marketing Libraries through Their Physical Environment.

Science.gov (United States)

Simon, Matthew

1992-01-01

Suggests ways to use library buildings and space to attract users and to showcase collections and services. Ideas for a marketing strategy using windows, promenades and walkways, the entrance of lobby, and the interior are offered. Increasing use by making libraries a place for fun and entertainment is also recommended. (MES)

Status of ICT-enabled library and information services in university ...

African Journals Online (AJOL)

... it was suggested that there should be budget provision for digital library projects and series and that private sector investment should be promoted in university libraries. Based on these findings, some recommendations were made. The library, especially a university library, as platform for innovation and creativity requires ...

Collaborative Recurrent Neural Networks forDynamic Recommender Systems

Science.gov (United States)

2016-11-22

JMLR: Workshop and Conference Proceedings 63:366–381, 2016 ACML 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems Young...an unprece- dented scale. Although such activity logs are abundantly available, most approaches to recommender systems are based on the rating...Recurrent Neural Network, Recommender System , Neural Language Model, Collaborative Filtering 1. Introduction As ever larger parts of the population

TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

Directory of Open Access Journals (Sweden)

Biljana PETREVSKA

2012-12-01

Full Text Available The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory performance and may be of high importance to all key-tourism actors in the process of identifying measures necessary for creating competitive tourism product.

A Challenge to Change: Necessary Changes in the Library Classification System for the Chicago Public Schools.

Science.gov (United States)

Williams, Florence M.

This report addresses the feasibility of changing the classification of library materials in the Chicago Public School libraries from the Dewey Decimal classification system (DDC) to the Library of Congress system (LC), thus patterning the city school libraries after the Chicago Public Library and strengthening the existing close relationship…

The Integrated Library System of the 1990s: The OhioLINK Experience.

Science.gov (United States)

Hawks, Carol Pitts

1992-01-01

Discussion of integrated library systems focuses on the development of the Ohio Library and Information Network (OhioLINK). Capabilities of eight existing systems are described, including catalog creation and maintenance; the online public access catalog (OPAC); circulation, interlibrary loan, and document delivery; acquisitions and serials…

Indonesian News Harvester and Recommender System

Directory of Open Access Journals (Sweden)

Adi Wibowo

2017-09-01

Full Text Available To provide convenience for the user that frequently read the news, a system to gather, classify, and provide news from several news websites in one place was needed. This system utilized a recommender system to provide only relevant news to the user. This research proposed a system architecture that used vector space model, and Rocchio relevance feedback to provide specific news recommendation to user’s feedback. The results are that the proposed system architecture can achieve the goal by using five levels of feedback from the user. However, the time needed to gather news is increasing exponentially in line with the number of terms gathered from articles.

General Maister's Library in the University of Maribor Library: Gaining and Preservation of the General Maister's Private Library in the University of Maribor Library

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Vlasta Stavbar

2015-12-01

Full Text Available Rudolf Maister’s book legacy, which is kept in the University of Maribor Library, is the complete legacy of the Maister’s private book collection– the “maistirana”. The Maister’s Library is in the University of Maribor Library possession since 1998, when General Maister’s heirs and the Library signed the deed of donation. 5.945 units of library materials present a special collection, which is divided from the regular library holdings and is kept in a specially designed room. General Maister’s Library is an exception in the University of Maribor Library, since the general practice of libraries is not an exclusive maintenance of the provenience principle and of the original organisation. Because the Maister’s Library consists of materials that are important when researching the Slovene literary and cultural past, it only seems reasonably to strive for the authentic organisation and preserving the library as one integral whole.In order to understand the meaning and the importance of this special library collection for the Slovene cultural heritage, we have to highlight Rudolf Maister as a passionate book lover and as the owner of one of the greatest and the most beautiful private libraries in Slovenia. General Maister started collecting books and organising his collection back in 1912 in Ljubljana; the collection was rearranged thoroughly during the time he was in Maribor; it survived the moves during World War II and after it and it finally found its place in the General Maister’s Library under the patronage of the University of Maribor Library. The rearranging of the shelving system and sorting of the materials patterned after the authentic shelving system in the General’s Maribor apartment took place in 2013. Until then the books were not arranged according to the authentic shelving system. The estimated shelving system reconstruction has reconstructed Maister’s shelving system as authentically as possible, for it is not

The impact of computerisation of library operations on library ...

African Journals Online (AJOL)

The use of computer-based systems in libraries and information units is now a vogue. The era of manual system in library operations is on its way to extinction. Recent developments in information world tend towards a globalized information communication technology (ICT). The library as a dynamic institution cannot afford ...

Looking Toward the Future of Library Technology. The Systems Librarian

Science.gov (United States)

Breeding, Marshall

2005-01-01

This article discusses trends in five areas relating to software developed for libraries, and based on these trends, the author's predictions for developments that might play out in the next few years. The author's predictions, based on his own empirical observations, include: (1) the integrated library system (ILS) will be reintegrated; (2) the…

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.

Privacy-Preserving Content-Based Recommender System

NARCIS (Netherlands)

Erkin, Zekeriya; Erkin, Z.; Beye, M.; Veugen, T.; 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

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.

Developing Plugin e-DDC as an Additional Application for Senayan Library Management System with PHP Language Programming and MySQL Database

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Mohamad Rotmianto

2018-01-01

Full Text Available Between Senayan Library Management System or usually called SLiMS and e-DDC (electronic Dewey Decimal Classification now is the most popular library application software which has a lot of user, because it is simple to use, has an updating guarantee from its developers and off course both of them are free of charge. Although SLiMS and e-DDC are different application at all, as practically they are recommended to be used togather for library management. SLiMS is used for library automation and e-DDC is to find collection’s classification. Many users of SLiMS and e-DDC ever give suggestions about developing SLiMS with e-DDC include in its database, and then librarians will be easier to manage their libraries. Because of that suggestion, finally a plugin as an additional application for SLiMS has been created and developed. That plugin was build with PHP language programming and MySQL database. The purpose of this paper is to enrich about reference of development of library application, especially those based on Free Open Source Software (FOSS. This paper use Research and Development Methods. And the result of this paper is Plugin e-DDC for SLiMS which has released on May, 2nd 2015, in order to celebrate “National Education Day”.

Interpreting Contextual Effects By Contextual Modeling In Recommender Systems

OpenAIRE

Zheng, Yong

2017-01-01

Recommender systems have been widely applied to assist user's decision making by providing a list of personalized item recommendations. Context-aware recommender systems (CARS) additionally take context information into considering in the recommendation process, since user's tastes on the items may vary from contexts to contexts. Several context-aware recommendation algorithms have been proposed and developed to improve the quality of recommendations. However, there are limited research which...

An effective collaborative movie recommender system with cuckoo search

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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].

Generation and tests of the new version 88 library for HAMMER system

International Nuclear Information System (INIS)

Chalhoub, E.S.; Anaf, J.

1988-08-01

A new library, version 88, for the HAMMER system, was generated using the ENDF/B-IV FRENDL evaluated nuclear data libraries. It is composed of epithermal and thermal libraries obtained by processing the new versions of ETOG-3 and FLANGE-II codes, respectively. Test results for two benchmark critical assemblies are presented. (author) [pt

A fuzzy recommendation system for daily water intake

Directory of Open Access Journals (Sweden)

Bin Dai

2016-05-01

Full Text Available Water is one of the most important constituents of the human body. Daily consumption of water is thus necessary to protect human health. Daily water consumption is related to several factors such as age, ambient temperature, and degree of physical activity. These factors are generally difficult to express with exact numerical values. The main objective of this article is to build a daily water intake recommendation system using fuzzy methods. This system will use age, physical activity, and ambient temperature as the input factors and daily water intake values as the output factor. The reasoning mechanism of the fuzzy system can calculate the recommended value of daily water intake. Finally, the system will compare the actual recommended values with our system to determine the usefulness. The experimental results show that this recommendation system is effective in actual application.

Towards Geosocial Recommender Systems

NARCIS (Netherlands)

de Graaff, V.; van Keulen, Maurice; de By, R.A.; de By, Rolf A.

2012-01-01

The usage of social networks sites (SNSs), such as Facebook, and geosocial networks (GSNs), such as Foursquare, has increased tremendously over the past years. The willingness of users to share their current locations and experiences facilitate the creation of geographical recommender systems based

Geographic Information Systems: Tools for Displaying In-Library Use Data

Directory of Open Access Journals (Sweden)

Lauren H. Mandel

2010-03-01

Full Text Available In-library use data is crucial for modern libraries to understand the full spectrum of patron use, including patron self-service activities, circulation, and reference statistics. Rather than using tables and charts to display use data, a geographic information system (GIS facilitates a more visually appealing graphical display of the data in the form of a map. GISs have been used by library and information science (LIS researchers and practitioners to create maps that display analyses of service area populations and demographics, facilities space management issues, spatial distribution of in-library use of materials, planned branch consolidations, and so on. The “seating sweeps” method allows researchers and librarians to collect in-library use data regarding where patrons are locating themselves within the library and what they are doing at those locations, such as sitting and reading, studying in a group, or socializing. This paper proposes a GIS as a tool to visually display in-library use data collected via “seating sweeps” of a library. By using a GIS to store, manage, and display the data, researchers and librarians can create visually appealing maps that show areas of heavy use and evidence of the use and value of the library for a community. Example maps are included to facilitate the reader’s understanding of the possibilities afforded by using GISs in LIS research.

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.

Design Principles for a Comprehensive Library System.

Science.gov (United States)

Uluakar, Tamer; And Others

1981-01-01

Describes an online design featuring circulation control, catalog access, and serial holdings that uses an incremental approach to system development. Utilizing a dedicated computer, this second of three releases pays particular attention to present and predicted computing capabilities as well as trends in library automation. (Author/RAA)

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.

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.

A Group Recommender System for Tourist Activities

Science.gov (United States)

Garcia, Inma; Sebastia, Laura; Onaindia, Eva; Guzman, Cesar

This paper introduces a method for giving recommendations of tourist activities to a group of users. This method makes recommendations based on the group tastes, their demographic classification and the places visited by the users in former trips. The group recommendation is computed from individual personal recommendations through the use of techniques such as aggregation, intersection or incremental intersection. This method is implemented as an extension of the e-Tourism tool, which is a user-adapted tourism and leisure application, whose main component is the Generalist Recommender System Kernel (GRSK), a domain-independent taxonomy-driven search engine that manages the group recommendation.

DMG-α--a computational geometry library for multimolecular systems.

Science.gov (United States)

Szczelina, Robert; Murzyn, Krzysztof

2014-11-24

The DMG-α library grants researchers in the field of computational biology, chemistry, and biophysics access to an open-sourced, easy to use, and intuitive software for performing fine-grained geometric analysis of molecular systems. The library is capable of computing power diagrams (weighted Voronoi diagrams) in three dimensions with 3D periodic boundary conditions, computing approximate projective 2D Voronoi diagrams on arbitrarily defined surfaces, performing shape properties recognition using α-shape theory and can do exact Solvent Accessible Surface Area (SASA) computation. The software is written mainly as a template-based C++ library for greater performance, but a rich Python interface (pydmga) is provided as a convenient way to manipulate the DMG-α routines. To illustrate possible applications of the DMG-α library, we present results of sample analyses which allowed to determine nontrivial geometric properties of two Escherichia coli-specific lipids as emerging from molecular dynamics simulations of relevant model bilayers.

The value of Web-based library services at Cedars-Sinai Health System.

Science.gov (United States)

Halub, L P

1999-07-01

Cedars-Sinai Medical Library/Information Center has maintained Web-based services since 1995 on the Cedars-Sinai Health System network. In that time, the librarians have found the provision of Web-based services to be a very worthwhile endeavor. Library users value the services that they access from their desktops because the services save time. They also appreciate being able to access services at their convenience, without restriction by the library's hours of operation. The library values its Web site because it brings increased visibility within the health system, and it enables library staff to expand services when budget restrictions have forced reduced hours of operation. In creating and maintaining the information center Web site, the librarians have learned the following lessons: consider the design carefully; offer what services you can, but weigh the advantages of providing the services against the time required to maintain them; make the content as accessible as possible; promote your Web site; and make friends in other departments, especially information services.

Online evaluation of point-of-interest recommendation systems

NARCIS (Netherlands)

Dean-Hall, A.; Clarke, C.L.A.; Kamps, J.; Kiseleva, J.

2015-01-01

In this work we describe a system to evaluate multiple point- of-interest recommendation systems. In this system each recommendation service will be exposed online and crowd-sourced assessors will interact with merged results from multiple services, which are responding to suggestion requests live,

Arabic Natural Language Processing System Code Library

Science.gov (United States)

2014-06-01

Adelphi, MD 20783-1197 This technical note provides a brief description of a Java library for Arabic natural language processing ( NLP ) containing code...for training and applying the Arabic NLP system described in the paper "A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix...and also English) natural language processing ( NLP ), containing code for training and applying the Arabic NLP system described in Stephen Tratz’s

Privacy enhanced recommender system

NARCIS (Netherlands)

Erkin, Zekeriya; Erkin, Zekeriya; Beye, Michael; Veugen, Thijs; Lagendijk, Reginald L.

2010-01-01

Recommender systems are widely used in online applications since they enable personalized service to the users. The underlying collaborative filtering techniques work on user’s data which are mostly privacy sensitive and can be misused by the service provider. To protect the privacy of the users, we

Useful and usable alarm systems : recommended properties

International Nuclear Information System (INIS)

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

2001-01-01

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)

A greater voice for academic health sciences libraries: the Association of Academic Health Sciences Libraries' vision.

Science.gov (United States)

Bunting, Alison

2003-04-01

The founders of the Association of Academic Health Sciences Libraries (AAHSL) envisioned the development of a professional organization that would provide a greater voice for academic health sciences libraries, facilitate cooperation and communication with the Association of American Medical Colleges, and create a forum for identifying problems and solutions that are common to academic health sciences libraries. This article focuses on the fulfillment of the "greater voice" vision by describing action and leadership by AAHSL and its members on issues that directly influenced the role of academic health sciences libraries. These include AAHSL's participation in the work that led to the publication of the landmark report, Academic Information in the Academic Health Sciences Center: Roles for the Library in Information Management; its contributions to the recommendations of the Physicians for the Twenty-first Century: The GPEP Report; and the joint publication with the Medical Library Association of Challenge to Action: Planning and Evaluation Guidelines for Academic Health Sciences Libraries.

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.

MpTheory Java library: a multi-platform Java library for systems biology based on the Metabolic P theory.

Science.gov (United States)

Marchetti, Luca; Manca, Vincenzo

2015-04-15

MpTheory Java library is an open-source project collecting a set of objects and algorithms for modeling observed dynamics by means of the Metabolic P (MP) theory, that is, a mathematical theory introduced in 2004 for modeling biological dynamics. By means of the library, it is possible to model biological systems both at continuous and at discrete time. Moreover, the library comprises a set of regression algorithms for inferring MP models starting from time series of observations. To enhance the modeling experience, beside a pure Java usage, the library can be directly used within the most popular computing environments, such as MATLAB, GNU Octave, Mathematica and R. The library is open-source and licensed under the GNU Lesser General Public License (LGPL) Version 3.0. Source code, binaries and complete documentation are available at http://mptheory.scienze.univr.it. luca.marchetti@univr.it, marchetti@cosbi.eu Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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 ...

Library/vendor relationships

CERN Document Server

Brooks, Sam

2014-01-01

A view of the mutual dependence between libraries and vendorsAs technology advances, libraries are forced to reach beyond their own resources to find effective ways to maintain accuracy and superior service levels. Vendors provide databases and integrated library systems that perform those functions for profit. Library/Vendor Relationships examines the increasing cooperation in which libraries find they must participate in, and vice versa, with the vendors that provide system infrastructure and software. Expert contributors provide insights from all sides of this unique collaboration, offering

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.

Journal cancellations in university libraries in South Africa

Directory of Open Access Journals (Sweden)

Ruth Hoskins

2010-01-01

Full Text Available This article is based on part of a survey that investigated journal cancellations in university libraries in South Africa. A study population consisting of 17 university libraries in South Africa was surveyed by means of an online questionnaire to establish the factors that influenced journal cancellations. Interpretation of the results revealed that South African university libraries, like most academic and research libraries world wide, have been adversely affected by high priced journal subscriptions and many libraries have simply cancelled subscriptions to pay for ongoing subscriptions. Recommendations are made about enhancing library budgets and access to usage statistics, supporting consortia and avoiding restrictive journal packages.

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.

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...

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...

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

A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

OpenAIRE

Wang, Yibo; Wang, Mingming; Xu, Wei

2018-01-01

Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the propo...

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…

'Maintain FENDL library for fusion applications'. FENDL-2 library for fusion applications - Status and future developments. Summary report

International Nuclear Information System (INIS)

Forrest, R.; Trkov, A.

2003-11-01

The discussions and conclusions of the meeting to 'Maintain FENDL library for Fusion Applications' are summarized in this report. A presentation was made by each of the participants, followed by a review of FENDL-2: evaluations and recommendations, and discussions on the special purpose libraries and processed files, with relevant further action thereon being determined. (author)

Data Mining Methods for Recommender Systems

Science.gov (United States)

Amatriain, Xavier; Jaimes*, Alejandro; Oliver, Nuria; Pujol, Josep M.

In this chapter, we give an overview of the main Data Mining techniques used in the context of Recommender Systems. We first describe common preprocessing methods such as sampling or dimensionality reduction. Next, we review the most important classification techniques, including Bayesian Networks and Support Vector Machines. We describe the k-means clustering algorithm and discuss several alternatives. We also present association rules and related algorithms for an efficient training process. In addition to introducing these techniques, we survey their uses in Recommender Systems and present cases where they have been successfully applied.

A Federated Recommender System for Online Learning Environments

OpenAIRE

Zhou, Lei; El Helou, Sandy; Moccozet, Laurent; Opprecht, Laurent; Benkacem, Omar; Salzmann, Christophe; Gillet, Denis

2012-01-01

From e-commerce to social networking sites, recommender systems are gaining more and more interest. They provide connections, news, resources, or products of interest. This paper presents a federated recommender system, which exploits data from different online learning platforms and delivers personalized recommendation. The underlying educational objective is to enable academic institutions to provide a Web 2.0 dashboard bringing together open resources from the Cloud and proprietary content...

MyWelch: building an information portal system in a medical library environment.

Science.gov (United States)

Zhang, Dongming; Zambrowicz, Caroline; Zhou, Hong; Roderer, Nancy

2003-01-01

MyWelch is a medical library portal system that users can use to create customized web sites that reflect their research needs and personal interests. In the MyWelch environment, faculty and students are empowered to take a greater role in identifying their needs and determining their requirements in the electronic environment. The portal system also facilitates interaction among library users and staff.

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…

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.

Libraries on the MOVE.

Science.gov (United States)

Edgar, Jim; And Others

1986-01-01

Presents papers from Illinois State Library and Shawnee Library System's "Libraries on the MOVE" conference focusing on how libraries can impact economic/cultural climate of an area. Topics addressed included information services of rural libraries; marketing; rural library development; library law; information access; interagency…

Development of Calcomp compatible interface library 'piflib' on X Window System

International Nuclear Information System (INIS)

Tanabe, Hidenobu; Yokokawa, Mitsuo; Onuma, Yoshio.

1993-05-01

Graphics processing at JAERI mainly has been executed on mainframe computers with Calcomp compatible graphics libraries. With spread of engineering workstations (EWS), it is important that those enormous graphics softwares be able to be carried out on EWS. The Calcomp compatible interface library 'piflib' has been developed on the X Window System, which is the most popular window environments on EWS. In this report, specifications of the library 'piflib' and its usages are presented. The cooperative processing with mainframe computers is also described. (author)

VALGALI: VERIFICATION AND VALIDATION TOOL FOR THE LIBRARIES PRODUCED BY THE GALILEE SYSTEM

International Nuclear Information System (INIS)

Mengelle, S.

2011-01-01

Full text: In this paper we present VALGALI the verification and validation tool for the libraries produced by the nuclear data processing system GALILEE. The aim of this system is to provide libraries with consistent physical data for various application codes (the deterministic transport code APOLLO2, the Monte Carlo transport code TRRIPOLI-4, the depletion code DARWIN, ...). For each library, are the data stored at the good place with the good format and so one. Are the libraries used by the various codes consistent. What is the physical quality of the cross sections and data present in the libraries. These three types of tests correspond to the classic stages of VandV. The great strength of VALGALI is to be generic and not dedicated to one application code Consequently, it is based on a common physical validation database which coverage is regularly increased. For all these test cases, the input data are declined for each relevant application code Moreover it can exist specific test case for each application code: At the present, VALGALI an check and validate the libraries of APOLLO2 and TRIPOLI4, but in the near future VALGALI wil also treat the libraries of DARWIN.

Research and Design of a Grid Based Electronic Commerce Recommendation System

OpenAIRE

Liang, Yueling; Nie, Guihua

2010-01-01

Current electronic commerce recommendation system is designed for single electronic commerce website and current recommendation technologies have obvious deficiencies Centralized recommendation systems can not resolve the contradiction between high recommendation quality and timely response, as well as that between limited recommendation range and ever rich information on the web. Distributed recommendation systems are expected to improve the recommendation quality while maintaining high perf...

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.

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

Neutron cross section library production code system for continuous energy Monte Carlo code MVP. LICEM

International Nuclear Information System (INIS)

Mori, Takamasa; Nakagawa, Masayuki; Kaneko, Kunio.

1996-05-01

A code system has been developed to produce neutron cross section libraries for the MVP continuous energy Monte Carlo code from an evaluated nuclear data library in the ENDF format. The code system consists of 9 computer codes, and can process nuclear data in the latest ENDF-6 format. By using the present system, MVP neutron cross section libraries for important nuclides in reactor core analyses, shielding and fusion neutronics calculations have been prepared from JENDL-3.1, JENDL-3.2, JENDL-FUSION file and ENDF/B-VI data bases. This report describes the format of MVP neutron cross section library, the details of each code in the code system and how to use them. (author)

Neutron cross section library production code system for continuous energy Monte Carlo code MVP. LICEM

Energy Technology Data Exchange (ETDEWEB)

Mori, Takamasa; Nakagawa, Masayuki [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment; Kaneko, Kunio

1996-05-01

A code system has been developed to produce neutron cross section libraries for the MVP continuous energy Monte Carlo code from an evaluated nuclear data library in the ENDF format. The code system consists of 9 computer codes, and can process nuclear data in the latest ENDF-6 format. By using the present system, MVP neutron cross section libraries for important nuclides in reactor core analyses, shielding and fusion neutronics calculations have been prepared from JENDL-3.1, JENDL-3.2, JENDL-FUSION file and ENDF/B-VI data bases. This report describes the format of MVP neutron cross section library, the details of each code in the code system and how to use them. (author).

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.

Usage of Library and Information Centers (LICs) by students in ...

African Journals Online (AJOL)

Poor lending policy; problems associated with network in the cyber cafe; the opening and closing hours of the library were some of the problems associated with their use of the library and information centres (LICs) Recommendations were proffered to include: the review and amendment of the lending policy of the library, ...

Hush… : The Dangers of Silence in Academic Libraries

OpenAIRE

Jessica Schomberg; Kirsti Cole

2017-01-01

In Brief This article critiques the idea that civility rhetoric decreases workplace bullying or discrimination. We use Critical Discourse Analysis (CDA) to do a rhetorical analysis of a campus-wide civility campaign in contrast with literature about civility in libraries. To combat discrimination and bullying, we need to be attentive to systemic power dynamics and to rhetoric designed to enforce compliance and conformity. We conclude with recommendations about how to raise our voices instead ...

DRARS, A Dynamic Risk-Aware Recommender System

OpenAIRE

Bouneffouf , Djallel

2013-01-01

The vast amount of information generated and maintained everyday by information systems and their users leads to the increasingly important concern of overload information. In this context, traditional recommender systems provide relevant information to the users. Nevertheless, with the recent dissemination of mobile devices (smartphones and tablets), there is a gradual user migration to the use of pervasive computing environments. The problem with the traditional recommendation approaches is...

Dynamic combinatorial libraries: from exploring molecular recognition to systems chemistry.

Science.gov (United States)

Li, Jianwei; Nowak, Piotr; Otto, Sijbren

2013-06-26

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 fascinating molecules, ranging from interlocked structures to self-replicators. Furthermore, dynamic combinatorial molecular networks can produce emergent properties at systems level, which provide exciting new opportunities in systems chemistry. In this perspective we will highlight some new methodologies in this field and analyze selected examples of DCLs that are under thermodynamic control, leading to synthetic receptors, catalytic systems, and complex self-assembled supramolecular architectures. Also reviewed are extensions of the principles of DCC to systems that are not at equilibrium and may therefore harbor richer functional behavior. Examples include self-replication and molecular machines.

Public Relations for School Library Media Programs: 500 Ways To Influence People and Win Friends for Your School Library Media Center.

Science.gov (United States)

Flowers, Helen F.

This informative how-to guide explains public relations strategies and the audiences they target, with tips for customizing these tactics for particular libraries. Helpful techniques are recommended for promoting the use of library media services by students, faculty, building administrators, and school support staff. Readers will also learn how…

Systems Analysis, Machineable Circulation Data and Library Users and Non-Users.

Science.gov (United States)

Lubans, John, Jr.

A study to be made with computer-based circulation data of the non-use and use of a large academic library is discussed. A search of the literature reveals that computer-based circulation systems can be, but have not been, utilized to provide data bases for systematic analyses of library users and resources. The data gathered in the circulation…

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.

Mobile Application Recommender System

OpenAIRE

Davidsson, Christoffer

2010-01-01

With the amount of mobile applications available increasing rapidly, users have to put a lot of effort into finding applications of interest. The purpose of this thesis is to investigate how to aid users in the process of discovering new mobile applications by providing them with recommendations. A prototype system is then built as a proof-of-concept. The work of the thesis is divided into three phases where the aim of the first phase is to study related work and related systems to identify p...

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...

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

Earth Observing System, Conclusions and Recommendations

Science.gov (United States)

1984-01-01

The following Earth Observing Systems (E.O.S.) recommendations were suggested: (1) a program must be initiated to ensure that present time series of Earth science data are maintained and continued. (2) A data system that provides easy, integrated, and complete access to past, present, and future data must be developed as soon as possible. (3) A long term research effort must be sustained to study and understand these time series of Earth observations. (4) The E.O.S. should be established as an information system to carry out those aspects of the above recommendations which go beyond existing and currently planned activities. (5) The scientific direction of the E.O.S. should be established and continued through an international scientific steering committee.

Library of neutron reaction cross-sections in the ABBN-93 constant system

International Nuclear Information System (INIS)

Zabrodskaya, S.V.; Korchagina, Zh.A.; Koshcheev, V.N.; Nikolaev, M.N.; Tsibulya, A.M.

2001-01-01

The library of neutron reaction group cross-sections in the ABBN-93 constant set is described. The format used for data representation, the content and purpose of the sub-libraries and their practical application in the SCALE criticality safety estimation system are discussed. (author)

Recommendations on future development of decision support systems

DEFF Research Database (Denmark)

MCarthur, Stephen; Chen, Minjiang; Marinelli, Mattia

Deliverable 8.3 reports on the consolidation of experiences from visualisation, decision support prototypes experiments and recommendations on future developments of decision support systems......Deliverable 8.3 reports on the consolidation of experiences from visualisation, decision support prototypes experiments and recommendations on future developments of decision support systems...

Development of a common nuclear group constants library system: JSSTDL-295n-104γ based on JENDL-3 nuclear data library

International Nuclear Information System (INIS)

Hasegawa, A.

1992-01-01

JSSTDL 295n-104γ: A common group cross-section library system has been developed in JAERI to be used in fairly wide range of applications in nuclear industry. This system is composed of a common 295n-104γ group cross-section library based on JENDL-3 nuclear data file and its utility codes. Target of this system is focused to the criticality or shielding calculations in fast and fusion reactors using ANISN, DOT, or MORSE code. Specifications of the common group constants were decided responding to the request from various nuclear data users, particularly from nuclear design group in Japan. Group structure is decided so as to cover almost all group structures currently used in our country. This library includes self-shielding factor tables for primary reactions. A routine for generating macro-scopic cross-section using the self-shielding factor table is also provided. Neutron cross-sections and photon production cross-sections are processed by Prof. GROUCH-G/B code system and γ ray transport cross-sections are generated by GAMLEG-JR. In this paper, outline and present status of the JSSTDL library system is described along with two examples adopted in JENDL-3 benchmark test. One is for shielding calculation, where effects of self-shielding factor (f-table) is shown in conjunction with the analysis of the ASPIS natural iron deep penetration experiment. Without considering resonance self-shielding effect in resonance energy region for resonant nuclides like iron, the results is completely missled in the attenuation profile calculation in the shields. The other example is fast rector criticality calculations of very small critical assemblies with very high enrichment fuel materials where some basic characteristics of this library is presented. (orig.)

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.

Accessibility of public libraries by rural dwellers in rural areas of ...

African Journals Online (AJOL)

In conclusion, public libraries are essential to rural dwellers; therefore it is recommended that all types of information be made available to public libraries. Sensitization programmes should be encouraged. This will in turn bring about positive impact on the rural dwellers. Key words: Accessibility, Public, Library, rural, ...

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.

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…

Evaluating Public Libraries Using Standard Scores: The Library Quotient.

Science.gov (United States)

O'Connor, Daniel O.

1982-01-01

Describes a method for assessing the performance of public libraries using a standardized scoring system and provides an analysis of public library data from New Jersey as an example. Library standards and the derivation of measurement ratios are also discussed. A 33-item bibliography and three data tables are included. (JL)

User Requirements Analysis For Digital Library Application Using Quality Function Deployment.

Science.gov (United States)

Wulandari, Lily; Sularto, Lana; Yusnitasari, Tristyanti; Ikasari, Diana

2017-03-01

This study attemp to build Smart Digital Library to be used by the wider community wherever they are. The system is built in the form of Smart Digital Library portal which uses semantic similarity method (Semantic Similarity) to search journals, articles or books by title or author name. This method is also used to determine the recommended books to be read by visitors of Smart Digital Library based on testimony from a previous reader automatically. Steps being taken in the development of Smart Digital Library system is the analysis phase, design phase, testing and implementation phase. At this stage of the analysis using WebQual for the preparation of the instruments to be distributed to the respondents and the data obtained from the respondents will be processed using Quality Function Deployment. In the analysis phase has the purpose of identifying consumer needs and technical requirements. The analysis was performed to a digital library on the web digital library Gunadarma University, Bogor Institute of Agriculture, University of Indonesia, etc. The questionnaire was distributed to 200 respondents. The research methodology begins with the collection of user requirements and analyse it using QFD. Application design is funded by the government through a program of Featured Universities Research by the Directorate General of Higher Education (DIKTI). Conclusions from this research are identified which include the Consumer Requirements of digital library application. The elements of the consumers requirements consists of 13 elements and 25 elements of Engineering Characteristics digital library requirements. Therefore the design of digital library applications that will be built, is designed according to the findings by eliminating features that are not needed by restaurant based on QFD House of Quality.

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.

Social Network Supported Process Recommender System

Directory of Open Access Journals (Sweden)

Yanming Ye

2014-01-01

Full Text Available 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.

Surveying Libraries to Identify Best Practices for a Menu Approach for Library Instruction Requests

Directory of Open Access Journals (Sweden)

Candice Benjes-Small

2009-11-01

Full Text Available A challenging situation has developed in regards to library instruction. With increases in both the quantity of information and the variety of information technologies being made available to researchers, the information literacy landscape is getting more complex. Simultaneously, the time allotted for library instruction is remaining essentially the same. In order to market the breadth of content available for library instruction sessions and to promote collaboration between librarians and teaching faculty in order to create optimal instruction sessions an 'a la carte menu' approach to library instruction requests was adopted by Radford University in 2004. Since the late 1990s a number of community colleges and universities have included some type of menu in their instruction request forms or documentation and the authors desired to understand what approach these institutions had taken and whether they were effective in marketing instruction and improving communication between library instructors and teaching faculty. They analyzed forty-seven adaptations of the menu available on the web and surveyed the librarians who created them. In this article the authors present the findings of the web analysis and the survey, and recommendations are given for using the menu approach to library instruction requests.

Building Personalized and Non Personalized Recommendation Systems

OpenAIRE

SNEHA KHATWANI; DR. M.B. CHANDAK

2016-01-01

The contents of e-Commerce such as music, movies, books and electronics goods are necessary for a modern life style. But, it becomes difficult to find content according to users likes and users preference. An approach which produces desirable results to solve such the problem is to develop "Recommender System." The Recommender System of an e-Commerce site selects and suggests the contents to meet user's preference automatically using data sets of previous users stored in database. There ca...

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).…

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.

More library mashups exploring new ways to deliver library data

CERN Document Server

2015-01-01

Nicole Engard follows up her ground-breaking 2009 book Library Mashups with a fresh collection of mashup projects that virtually any library can emulate, customize, and build upon. In More Library Mashups, Engard and 24 creative library professionals describe how they are mashing up free and inexpensive digital tools and techniques to improve library services and meet everyday (and unexpected) challenges. Examples from libraries of all types are designed to help even non-programmers share and add value to digital content, update and enhance library websites and collections, mashup catalog data, connect to the library's automation system, and use emerging tools like Serendip-o-matic, Umlaut, and Libki to engage users, staff, and the community.

The AHEC library program and consortia development in California.

Science.gov (United States)

Jensen, M A; Maddalena, B

1986-07-01

A brief history of the first Area Health Education Center (AHEC) Library Program in California is presented, with a description of methodology and results. The goals of this program were to develop and improve hospital library resources and services, to train hospital library personnel, and to promote resource sharing in a medically underserved area. The health sciences library consortium that evolved became a model for the ten other library consortia in the state. Based on AHEC's twelve years' experience with consortia, from 1973 to 1985, recommendations are made as to size, composition, leadership, outside funding, group participation, publicity, and linkages.

A Recommendation System to Facilitate Business Process Modeling.

Science.gov (United States)

Deng, Shuiguang; Wang, Dongjing; Li, Ying; Cao, Bin; Yin, Jianwei; Wu, Zhaohui; Zhou, Mengchu

2017-06-01

This paper presents a system that utilizes process recommendation technology to help design new business processes from scratch in an efficient and accurate way. The proposed system consists of two phases: 1) offline mining and 2) online recommendation. At the first phase, it mines relations among activity nodes from existing processes in repository, and then stores the extracted relations as patterns in a database. At the second phase, it compares the new process under construction with the premined patterns, and recommends proper activity nodes of the most matching patterns to help build a new process. Specifically, there are three different online recommendation strategies in this system. Experiments on both real and synthetic datasets are conducted to compare the proposed approaches with the other state-of-the-art ones, and the results show that the proposed approaches outperform them in terms of accuracy and efficiency.

Use of Audiobooks in a School Library and Positive Effects of Struggling Readers' Participation in a Library-Sponsored Audiobook Club

Science.gov (United States)

Whittingham, Jeff; Huffman, Stephanie; Christensen, Rob; McAllister, Tracy

2013-01-01

A study was conducted to determine the impact of the use of audiobooks with struggling readers in a school library audiobook club. The participants met weekly in the school library with the school librarian and researchers to discuss audiobooks and make reading recommendations to their peers. Standardized test data as well as pre- and post-study…

導入矩陣分群之視覺化圖書推薦系統 Visualized Book Recommender System Using Matrix Clustering

Directory of Open Access Journals (Sweden)

June-Jei Kuo

2013-10-01

Full Text Available 傳統圖書推薦系統依據讀者過去的借閱紀錄，推薦相關書籍給讀者，也可以藉由讀者所屬社群的資訊，推薦讀者從沒有借閱過的書籍。然而，讀者的閱讀興趣會隨著時間改變，借閱時間越近的圖書越能反應讀者當前興趣，每筆閱讀紀錄的重要性不可等同視之。圖書借閱紀錄高維度和稀疏的特性使得資料探勘的分群方法無法有效對應。再者，為了使讀者可以從推薦結果中有效地發現所需資訊，必須導入視覺化呈現技術。因此，本研究導入時間衰減因素，提出動態閥值矩陣分群，並導入主題地圖，以提高判斷圖書推薦適性之準確率。實驗結果證實視覺化圖書推薦系統比傳統圖書推薦系統具有更高的滿意度，且雙層式主題地圖呈現比單層式主題地圖呈現更適合呈現推薦結果。Traditional library recommender system can not only employ each user’s loan history to recommends books which she(he is interested, but also use the load history of other users who are in the same social network with the user to recommend books which she(he never loans but may be interested in. However, as the users’ information interests are being changed continuously, the same treatment for the user library usage at different time will lead to the recommended results departure from the users’ current information needs. Moreover, as the data of library usage are highly dimensional and sparse, the traditional clustering methods can not tackle clustering issue effectively. Besides, interactive information visualization can allow users to more easily see multiple aspects of recommended results and offer a clear of items ranked by perceived interests. In order to deal with the three issues, this paper exploits time decay weight, matrix clustering using dynamic thresholds and topic maps to propose a novel visualized book recommender system. Additionally, according to

The Steacie Library Dungeon Hackfest: Hackers in the Library Coding, Collaborating and Creating

Directory of Open Access Journals (Sweden)

Sarah Shujah

2013-12-01

Full Text Available The Steacie Science and Engineering Library at York University hosted its first annual Steacie Library Dungeon Hackfest in February 2013. The purpose of a hackfest is to spend a day (or longer using computer programming skills to collaborate on a particular software project and, hopefully, bring the project to reality. The project may be an app, widget, or website. It is evident that hackfests, as a form of engaged learning, help to reinforce the relevance of the library since it has implications for information literacy, open access, faculty liaison, and the changing perception of library as place. Twenty-five participants that included students, faculty, and staff hacked on Open York Data: York University’s openly accessible records and data such as course codes, lab stats of computers available in various libraries, subject headings, and research interests of faculty. The Hackfest produced several innovative ideas including a “Class Optimizer” program to help students generate a course schedule, and a mobile android app “YU Labs” that informs students of the computers available in a specific library. Library instruction was informally imparted during the Hackfest. There were discussions about open source, developing a research idea, and recommended tools to help students complete their projects. This article encapsulates the inspiration behind the Hackfest, discusses the library as the host, the resources used, the theme, achievements, and assessment. To summarize, the library Hackfest provided a space for literacy, life-long learning, and support of the open source pedagogy.

Recommended activation detector cross sections (RNDL-82)

International Nuclear Information System (INIS)

Bondars, Kh.Ya.; Lapenas, A.A.

1984-01-01

The results of the comparison between measured and calculated average cross sections in 5 benchmark experiments are presented. Calculations have been based on the data from 10 libraries of evaluated cross sections. The recommended library (RNDL-82) of the activation detector cross sections has been created on the basis of the comparison. RNDL-82, including 26 reactions, and the basic characteristics of the detectors are presented. (author)

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.

Models and methods for building web recommendation systems

OpenAIRE

Stekh, Yu.; Artsibasov, V.

2012-01-01

Modern Word Wide Web contains a large number of Web sites and pages in each Web site. Web recommendation system (recommendation system for web pages) are typically implemented on web servers and use the data obtained from the collection viewed web templates (implicit data) or user registration data (explicit data). In article considering methods and algorithms of web recommendation system based on the technology of data mining (web mining). Сучасна мережа Інтернет містить велику кількість веб...

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.

The E-rate Program and Libraries and Library Consortia, 2000-2004: Trends and Issues

Directory of Open Access Journals (Sweden)

Paul T. Jaeger

2005-06-01

Full Text Available The E-rate program has provided tremendous benefits to libraries, allowing many libraries and library systems to acquire technological equipment and services that would otherwise be too expensive, increasing the availability of public Internet access through libraries. This article analyzes the data related to the E-rate program and the discounts that it has provided to libraries and library systems between 2000 and 2004. By examining the E-rate data in a longitudinal manner, this article explores the trends in the application for and the provision of E-rate discounts to libraries and library consortia at national and state levels. The data suggest that, despite a number of controversies over the years, the program has provided a significant level of support for libraries and library consortia.

Hybrid Recommendation System Memanfaatkan Penggalian Frequent Itemset dan Perbandingan Keyword

OpenAIRE

Suka Parwita, Wayan Gede; Winarko, Edi

2015-01-01

Abstrak Recommendation system sering dibangun dengan memanfaatkan data peringkat item dan data identitas pengguna. Data peringkat item merupakan data yang langka pada sistem yang baru dibangun. Sedangkan, pemberian data identitas pada recommendation system dapat menimbulkan kekhawatiran penyalahgunaan data identitas. Hybrid recommendation system memanfaatkan algoritma penggalian frequent itemset dan perbandingan keyword dapat memberikan daftar rekomendasi tanpa menggunakan data identi...

International benchmark tests of the FENDL-1 Nuclear Data Library

International Nuclear Information System (INIS)

Fischer, U.

1997-01-01

An international benchmark validation task has been conducted to validate the fusion evaluated nuclear data library FENDL-1 through data tests against integral 14 MeV neutron experiments. The main objective of this task was to qualify the FENDL-1 working libraries for fusion applications and to elaborate recommendations for further data improvements. Several laboratories and institutions from the European Union, Japan, the Russian Federation and US have contributed to the benchmark task. A large variety of existing integral 14 MeV benchmark experiments was analysed with the FENDL-1 working libraries for continuous energy Monte Carlo and multigroup discrete ordinate calculations. Results of the benchmark analyses have been collected, discussed and evaluated. The major findings, conclusions and recommendations are presented in this paper. With regard to the data quality, it is summarised that fusion nuclear data have reached a high confidence level with the available FENDL-1 data library. With few exceptions this holds for the materials of highest importance for fusion reactor applications. As a result of the performed benchmark analyses, some existing deficiencies and discrepancies have been identified that are recommended for removal in theforthcoming FENDL-2 data file. (orig.)

Understanding Cooperative Learning in Context-aware Recommender Systems

DEFF Research Database (Denmark)

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

2017-01-01

Context-Aware Recommender Systems (CARSs) are becoming commonplace. Yet, there is a paucity of studies that investigates how such systems could affect usage behavior from a user-system interaction perspective. Building on the Social Interdependence Theory (SIT), we construct a research model...... 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....

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.

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.

Information resources and access in Delta State University library ...

African Journals Online (AJOL)

It was revealed in the study that due to various internet hiccups and financial problems affecting library services the use of ICTs in information retrieval has not fully gain ed ground. Based on the findings, pertinent recommendations were made. Key Words: Information , Resources, Access, Library, University, Abraka , Nigeria ...

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.

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

OpenAIRE

Jesus G. Boticario; Olga C. Santos

2011-01-01

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 ...

Record Recommendations for the CERN Document Server

CERN Document Server

AUTHOR|(CDS)2096025; Marian, Ludmila

CERN Document Server (CDS) is the institutional repository of the European Organization for Nuclear Research (CERN). It hosts all the research material produced at CERN, as well as multi- media and administrative documents. It currently has more than 1.5 million records grouped in more than 1000 collections. It’s underlying platform is Invenio, an open source digital library system created at CERN. As the size of CDS increases, discovering useful and interesting records becomes more challenging. Therefore, the goal of this work is to create a system that supports the user in the discovery of related interesting records. To achieve this, a set of recommended records are displayed on the record page. These recommended records are based on the analyzed behavior (page views and downloads) of other users. This work will describe the methods and algorithms used for creating, implementing, and the integration with the underlying software platform, Invenio. A very important decision factor when designing a recomme...

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.

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.

Development of a 1200 fine group nuclear data library for advanced nuclear systems

Institute of Scientific and Technical Information of China (English)

Jun Zou; Lei-Ming Shang; Fang Wang; Li-Juan Hao

2017-01-01

Accurate and reliable nuclear data libraries are essential for calculation and design of advanced nuclear systems.A 1200 fine group nuclear data library Hybrid Evaluated Nuclear Data Library/Fine Group (HENDL/FG) with neutrons of up to 150 MeV has been developed to improve the accuracy of neutronics calculations and analysis.Corrections of Doppler,resonance self-shielding,and thermal upscatter effects were done for HENDL/FG.Shielding and critical safety benchmarks were performed to test the accuracy and reliability of the library.The discrepancy between calculated and measured nuclear parameters fell into a reasonable range.

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.

Use of internet library based services by the students of Imo State ...

African Journals Online (AJOL)

Findings show that students utilizes internet based library services in their academic work, for their intellectual development as well as in communicating to their lecturers and other relations on their day to day information needs. It is recommended that University libraries should provide and offer internet based library ...

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…

Proactive Recommender Systems in Automotive Scenarios

OpenAIRE

Bader, Roland

2013-01-01

This thesis investigates proactive recommender systems to avoid information overload inside a car. The proposed system delivers context-adaptive items in the right situation. Explicit explanations are used to make the system comprehensible because it works without user request. To show the applicability of our system, we investigate the acceptance of the drivers. The results show that the drivers tend to accept such a system. Zur Vermeidung von Informationsüberflutung im Fahrzeug werden in...

Hush… : The Dangers of Silence in Academic Libraries

Directory of Open Access Journals (Sweden)

Jessica Schomberg

2017-04-01

Full Text Available In Brief This article critiques the idea that civility rhetoric decreases workplace bullying or discrimination. We use Critical Discourse Analysis (CDA to do a rhetorical analysis of a campus-wide civility campaign in contrast with literature about civility in libraries. To combat discrimination and bullying, we need to be attentive to systemic power dynamics and to rhetoric designed to enforce compliance and conformity. We conclude with recommendations about how to raise our voices instead of silencing our peers.

Integrating Information Extraction Agents into a Tourism Recommender System

Science.gov (United States)

Esparcia, Sergio; Sánchez-Anguix, Víctor; Argente, Estefanía; García-Fornes, Ana; Julián, Vicente

Recommender systems face some problems. On the one hand information needs to be maintained updated, which can result in a costly task if it is not performed automatically. On the other hand, it may be interesting to include third party services in the recommendation since they improve its quality. In this paper, we present an add-on for the Social-Net Tourism Recommender System that uses information extraction and natural language processing techniques in order to automatically extract and classify information from the Web. Its goal is to maintain the system updated and obtain information about third party services that are not offered by service providers inside the system.

Implementing RFID in Libraries for Process Automation - Experiences from over Twenty Current Installations

Directory of Open Access Journals (Sweden)

Christian Kern

2004-06-01

Full Text Available In recent years libraries enhanced their offer from books to materials like videos, music cassettes and most important CDs and DVDs. These items are quite expensive to buy and therefore have a high demand by the library users. Many libraries also try to offer some kind of social meeting point and incorporate a café or an attractive reading room. This all contributes to the positive new image of libraries. The extension of the collection and the increased demand lead to an increased amount of work and requires more staff. However, it is difficult to get additional budget for continuous costs. It is easier to do one-time investments in order to shift the repetitive work away from the desk and to automatic self service stations. Radio Frequency Identification (RFID is an established technology (since 2001 to take over the repetitive tasks: check out, return of items, sorting and inventory control. RFID-Systems have a maximum effect if there is also a good room planning which supports their function and the frequency of their use (Kern, 2002, 2004; Wampfler, 2003. In this paper two approaches for the allocation of functional units in a library are compared: · the traditional central allocation of the functional units at the counter (used by the staff; · the decentral allocation of functional units, used by the library visitor. After this theoretical view some practical recommendations for the library and the architectural planner are given. These are derived from experiences of RFID installations in over 20 libraries (Bibliotheca RFID Library Systems AG.

Assignment Report on Library Banks in Health Institution in Indonesia (Draft).

Science.gov (United States)

Urata, Takeo

The medical library needs of Indonesia were surveyed and recommendations for improving the existing situation are made based on the results of the survey. The survey indicates that: (1) the library collections are out of date and inadequate, (2) there is a need for more and better trained medical librarians and library assistants; (3) there is no…

Digital library initiative in an Indian research library: an experience report

International Nuclear Information System (INIS)

Venkadesan, S.; Narayanan, A.

1999-01-01

Libraries all over the world are transiting from the traditional print only era to the electronic era. The migration to an electronic library involves the understanding of several issues and requirements at the planning stage itself. This paper describes the various aspects of building a digital library system. Experience of implementing certain strategies in the IGCAR library is discussed in detail. The components of the digital library and the various access levels are discussed with examples. Finally, samples of the IGCAR library web site and the Newsletter web site are shown. (author)

Recommendation System of Program Based on REST Style

Directory of Open Access Journals (Sweden)

Song Jin Bao

2016-01-01

Full Text Available With the popularity of digital TV, TV programs have been on the increase no matter in both the number and species, which brought many choice to the users. Although the digital TV has increased largely in the selectivity, it has become a fussy process that users search for programs which they are interested in. So there is need to have an efficient program recommendation system to solve the problem that is “information overload” for users. It can not only help users to get the program which they require, but also bring convenience to people’s life. The program recommendation system named MyView is planned and designed, aimed to providing an efficient information platform. The system also involves intelligent recommendation. The information guide will trigger the recommendation engine after users registering information, the engine will accord to the data in the guide information to make the personalized program recommendation. The system was deployed in the Tomcat and Apache integration servers on my localhost, so it also belongs to the Web application based on J2EE platform. AJAX is used that can achieve a good user experience to develop web presentation layer on MyView PC browser with flexible interface performance. The background of business services uses the hierarchical form. MyView System uses the CXF framework and Hibernate to equip controller and data persistence layer in the Spring container. The overall framework of the system uses the REST style, in order to extend the performance and function later. Background service layer with uniform interface, marked by the URI resource. At the same time, HTTP requestion is submitted by the AJAX to obtain services provided by resources. Finally, we can analyze and summary the features of MyView System.

E-Learning Recommender System Based on Collaborative Filtering and Ontology

OpenAIRE

John Tarus; Zhendong Niu; Bakhti Khadidja

2017-01-01

In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving ...

Which recommender system can best fit social learning platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

In this presentation, we present a study that aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on

Which Recommender System Can Best Fit Social Learning Platforms?

NARCIS (Netherlands)

Fazeli, Soude; Loni, Babak; Drachsler, Hendrik; Sloep, Peter

2014-01-01

This study aims to develop a recommender system for social learning platforms that combine traditional learning management systems with commercial social networks like Facebook. We therefore take into account social interactions of users to make recommendations on learning resources. We propose to

Towards a Legal Recommender System

NARCIS (Netherlands)

Winkels, R.; Boer, A.; Vredebregt, B.; van Someren, A.

2014-01-01

In this paper we present the results of ongoing research aimed at a legal recommender system where users of a legislative portal receive suggestions of other relevant sources of law, given a focus document. We describe how we make references in case law to legislation explicit and machine readable,

Recommendation strategies for e-learning: preliminary effects of a personal recommender system for lifelong learners

NARCIS (Netherlands)

Drachsler, Hendrik; Hummel, Hans; Van den Berg, Bert; Eshuis, Jannes; Berlanga, Adriana; Nadolski, Rob; Waterink, Wim; Boers, Nanda; Koper, Rob

2007-01-01

Drachsler, H., Hummel, H. G. K., Van den Berg, B., Eshuis, J., Berlanga, A. J., Nadolski, R. J., Waterink, W., Boers, N., & Koper, R. (2007). Recommendation strategies for e-learning: preliminary effects of personal recommender system for lifelong learners. Unpublished manuscript.

Defining and Supporting Narrative-driven Recommendation

DEFF Research Database (Denmark)

Bogers, Toine; Koolen, Marijn

2017-01-01

Research into recommendation algorithms has made great strides in recent years. However, these algorithms are typically applied in relatively straightforward scenarios: given information about a user's past preferences, what will they like in the future? Recommendation is often more complex......: evaluating recommended items never takes place in a vacuum, and it is often a single step in the user's more complex background task. In this paper, we define a specific type of recommendation scenario called narrative-driven recommendation, where the recommendation process is driven by both a log...... of the user's past transactions as well as a narrative description of their current interest(s). Through an analysis of a set of real-world recommendation narratives from the LibraryThing forums, we demonstrate the uniqueness and richness of this scenario and highlight common patterns and properties...

Collaborative User Network Embedding for Social Recommender Systems

KAUST Repository

Zhang, Chuxu; Yu, Lu; Wang, Yan; Shah, Chirag; Zhang, Xiangliang

2017-01-01

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

Algorithms for Academic Search and Recommendation Systems

DEFF Research Database (Denmark)

Amolochitis, Emmanouil

2014-01-01

are part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. In the third part of the work we present the design of a quantitative association rule mining algorithm. The introduced mining algorithm processes......In this work we present novel algorithms for academic search, recommendation and association rules mining. In the first part of the work we introduce a novel hierarchical heuristic scheme for re-ranking academic publications. The scheme is based on the hierarchical combination of a custom...... 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...

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.

Library Web Sites in Pakistan: An Analysis of Content

Science.gov (United States)

Qutab, Saima; Mahmood, Khalid

2009-01-01

Purpose: The purpose of this paper is to investigate library web sites in Pakistan, to analyse their content and navigational strengths and weaknesses and to give recommendations for developing better web sites and quality assessment studies. Design/methodology/approach: Survey of web sites of 52 academic, special, public and national libraries in…

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…

Methods for the preparation of large quantities of complex single-stranded oligonucleotide libraries.

Science.gov (United States)

Murgha, Yusuf E; Rouillard, Jean-Marie; Gulari, Erdogan

2014-01-01

Custom-defined oligonucleotide collections have a broad range of applications in fields of synthetic biology, targeted sequencing, and cytogenetics. Also, they are used to encode information for technologies like RNA interference, protein engineering and DNA-encoded libraries. High-throughput parallel DNA synthesis technologies developed for the manufacture of DNA microarrays can produce libraries of large numbers of different oligonucleotides, but in very limited amounts. Here, we compare three approaches to prepare large quantities of single-stranded oligonucleotide libraries derived from microarray synthesized collections. The first approach, alkaline melting of double-stranded PCR amplified libraries with a biotinylated strand captured on streptavidin coated magnetic beads results in little or no non-biotinylated ssDNA. The second method wherein the phosphorylated strand of PCR amplified libraries is nucleolyticaly hydrolyzed is recommended when small amounts of libraries are needed. The third method combining in vitro transcription of PCR amplified libraries to reverse transcription of the RNA product into single-stranded cDNA is our recommended method to produce large amounts of oligonucleotide libraries. Finally, we propose a method to remove any primer binding sequences introduced during library amplification.

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

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.

Access to IEEE Electronic Library

CERN Multimedia

2007-01-01

From 2007, the CERN Library now offers readers online access to the complete IEEE Electronic Library (Institute of Electrical and Electronics Engineers). This new licence gives unlimited online access to all IEEE and IET (previously IEE) journals and proceedings as well as all current IEEE standards and selected archived ones. Some of the titles offer volumes back to 1913. This service currently represents more than 1,400,000 full-text articles! This leading engineering information resource replaces the previous service, a sub-product of the IEEE database called 'IEEE Enterprise', which offered online access to the complete collection of IEEE journals and proceedings, but with limited features. The service had become so popular that the CERN Working Group for Acquisitions recommended that the Library subscribe to the complete IEEE Electronic Library for 2007. Usage statistics for recent months showed there was a demand for the service from a large community of CERN users and we were aware that many users h...

USERS' PERCEPTION OF LIBRARY USE MALPRACTICES: CASE ...

African Journals Online (AJOL)

Study recommended adherence to user's opinion and an addition of counseling to users-orientation ... student, lecturers, researchers and other community of scholars. ..... School Library Resources Centres for Educational Excellence. Ibadan:.

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.

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.

Automating the Small Library.

Science.gov (United States)

Skapura, Robert

1987-01-01

Discusses the use of microcomputers for automating school libraries, both for entire systems and for specific library tasks. Highlights include available library management software, newsletters that evaluate software, constructing an evaluation matrix, steps to consider in library automation, and a brief discussion of computerized card catalogs.…

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.

Where to publish? Development of a recommender system for academic publishing

OpenAIRE

Gutknecht, Christian

2014-01-01

This thesis using the method of research design is about creating a journal recommendation system for authors. Existing systems like JANE or whichjournal.com offer recommendations based on similarities of the content. This study invests how more sophisticated factors like openness, price (subscription or article processing charge), speed of publication can be included in the ranking of a recommendation system. The recommendation should also consider the expectations from other stakeholders li...

The Role of Libraries and Information Centres in the Achievements ...

African Journals Online (AJOL)

It views the objectives of Universal Primary Education, school libraries and infonnation centres thereby enumerating roles of libraries and information centres in the achievement of MDGs for Africa. It concludes by giving recommendations towards the achievement of education for Africa in the millennium development goals ...

Intelligent Libraries and Apomediators: Distinguishing between Library 3.0 and Library 2.0

Science.gov (United States)

Kwanya, Tom; Stilwell, Christine; Underwood, Peter G.

2013-01-01

Using the "point oh" naming system for developments in librarianship is attracting debate about its appropriateness, basis and syntax and the meaning and potential of Library 2.0. Now a new term, Library 3.0, has emerged. Is there is any significant difference between the two models? Using documentary analysis to explore the terms, the…

A Multi-context BDI Recommender System: from Theory to Simulation

OpenAIRE

Ben Othmane , Amel; Tettamanzi , Andrea G. B.; Villata , Serena; Le Thanh , Nhan

2016-01-01

International audience; In this paper, a simulation of a multi-agent recommender system is presented and developed in the NetLogo platform. The specification of this recommender system is based on the well known Belief-Desire-Intention agent architecture applied to multi-context systems, extended with contexts foradditional reasoning abilities, especially social ones. The main goal of this simulation study is, besides illustrating the usefulness and feasibility of our agent-based recommender ...

A Model Library in Tehran, Iran: The Hosseinieh Ershad Public Library.

Science.gov (United States)

Hary, Nicoletta Mattioli

1995-01-01

Describes the Hosseinieh Ershad Public Library, a model library established in Iran after the Islamic Revolution that contains a predominant religious collection. Reviews the library's historical background, current cataloging system, collections and their circulation, services to blind patrons and children, funding and staff. Photographs of the…

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.

A Recent Comparison on Public', Libraries

Directory of Open Access Journals (Sweden)

Bülent Yılmaz

1999-03-01

Full Text Available Public libraries have been changing by depend on the social development. This changing can create the new problems for public libraries. To make some evaluations on public libraries is important in bringing light to these problems. To compare the public library system and services in a country with the others can give useful results. In these research, Turkish public library system and services has been compared with the public library system dnd services in England, Netherland and Austria. As a result, it hçıs been understood that Turkish public libraries have some important insufficiencies according to the other countries.

Library Classification 2020

Science.gov (United States)

Harris, Christopher

2013-01-01

In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

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)

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

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

Topic Space: Rapid Prototyping a Mobile Augmented Reality Recommendation App

Directory of Open Access Journals (Sweden)

Jim Hahn

2015-10-01

Full Text Available With funding from an Institute of Museum and Library Services (IMLS Sparks! Ignition Grant, researchers from the University of Illinois Library designed and tested a mobile recommender app with augmented reality features. By embedding open source optical character recognition software into a “Topic Space” module, the augmented reality app can recognize call numbers on a book in the library and suggest relevant items that are not shelved nearby. Topic Space can also show users items that are normally shelved in the starting location but that are currently checked out. Using formative UX methods, grant staff shaped app interface and functionality through early user testing. This paper reports results of UX testing; a redesigned mobile interface, and provides considerations on the future development of personalized recommendation functionality.

The WIMSLIB library - neutron data library for WIMS-D

International Nuclear Information System (INIS)

Liu Ping

1998-05-01

During a visit to the IAEA Nuclear Data Section from 13 June to 12 December 1997, the author processed the Chinese Evaluated Nuclear Data Library (CENDL), Version 2.1, using the NJOY Nuclear Data Processing System, Version 94.105, to generate the working library WIMSLIB for input to WIMS-D/4 and WIMS-D/5A. The WIMSLIB library was then used to perform benchmark testing of CENDL-2.1. (author)

Web pages of Slovenian public libraries

Directory of Open Access Journals (Sweden)

Silva Novljan

2002-01-01

Full Text Available Libraries should offer their patrons web sites which establish the unmistakeable concept (public of library, the concept that cannot be mistaken for other information brokers and services available on the Internet, but inside this framework of the concept of library, would show a diversity which directs patrons to other (public libraries. This can be achieved by reliability, quality of information and services, and safety of usage.Achieving this, patrons regard library web sites as important reference sources deserving continuous usage for obtaining relevant information. Libraries excuse investment in the development and sustainance of their web sites by the number of visits and by patron satisfaction. The presented research, made on a sample of Slovene public libraries’web sites, determines how the libraries establish their purpose and role, as well as the given professional recommendations in web site design.The results uncover the striving of libraries for the modernisation of their functions,major attention is directed to the presentation of classic libraries and their activities,lesser to the expansion of available contents and electronic sources. Pointing to their diversity is significant since it is not a result of patrons’ needs, but more the consequence of improvisation, too little attention to selection, availability, organisation and formation of different kind of information and services on the web sites. Based on the analysis of a common concept of the public library web site, certain activities for improving the existing state of affairs are presented in the paper.

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

African Journals Online (AJOL)

Regarding to the increase in the online social networks services during the recent years, the recommender system has turned into an emerging research subject. Currently, regarding to the fast and consistent expansion of using the internet, the necessity of a recommender system for refining the large volume of data has ...

Design criteria for the 218-group criticality safety reference library

International Nuclear Information System (INIS)

Westfall, R.M.; Ford, W.E. III; Webster, C.C.

1978-01-01

The generation of a 218-group neutron cross-section library from ENDF/B-IV data is described. Experience in selecting broad-group subsets and applying them in the analysis of critical experiments is related. Recommendations on the use of the 218-group library are made. 3 figures, 5 tables

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...

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...

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...

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...

FENDL multigroup libraries

International Nuclear Information System (INIS)

Ganesan, S.; Muir, D.W.

1992-01-01

Selected neutron reaction nuclear data libraries and photon-atomic interaction cross section libraries for elements of interest to the IAEA's program on Fusion Evaluated Nuclear Data Library (FENDL) have been processed into MATXSR format using the NJOY system on the VAX4000 computer of the IAEA. This document lists the resulting multigroup data libraries. All the multigroup data generated are available cost-free upon request from the IAEA Nuclear Data Section. (author). 9 refs

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.

SLIB77, Source Library Data Compression and File Maintenance System

International Nuclear Information System (INIS)

Lunsford, A.

1989-01-01

Description of program or function: SLIB77 is a source librarian program designed to maintain FORTRAN source code in a compressed form on magnetic disk. The program was prepared to meet program maintenance requirements for ongoing program development and continual improvement of very large programs involving many programmers from a number of different organizations. SLIB77 automatically maintains in one file the source of the current program as well as all previous modifications. Although written originally for FORTRAN programs, SLIB77 is suitable for use with data files, text files, operating systems, and other programming languages, such as Ada, C and COBOL. It can handle libraries with records of up to 160-characters. Records are grouped into DECKS and assigned deck names by the user. SLIB77 assigns a number to each record in each DECK. Records can be deleted or restored singly or as a group within each deck. Modification records are grouped and assigned modification identification names by the user. The program assigns numbers to each new record within the deck. The program has two modes of execution, BATCH and EDIT. The BATCH mode is controlled by an input file and is used to make changes permanent and create new library files. The EDIT mode is controlled by interactive terminal input and a built-in line editor is used for modification of single decks. Transferring of a library from one computer system to another is accomplished using a Portable Library File created by SLIB77 in a BATCH run

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

Nuclear models, experiments and data libraries needed for numerical simulation of accelerator-driven system

International Nuclear Information System (INIS)

Bauge, E.; Bersillon, O.

2000-01-01

This paper presents the transparencies of the speech concerning the nuclear models, experiments and data libraries needed for numerical simulation of Accelerator-Driven Systems. The first part concerning the nuclear models defines the spallation process, the corresponding models (intra-nuclear cascade, statistical model, Fermi breakup, fission, transport, decay and macroscopic aspects) and the code systems. The second part devoted to the experiments presents the angular measurements, the integral measurements, the residual nuclei and the energy deposition. In the last part, dealing with the data libraries, the author details the fundamental quantities as the reaction cross-section, the low energy transport databases and the decay libraries. (A.L.B.)

ADS-Lib/V1.0. A test library for Accelerator Driven Systems. Summary documentation

International Nuclear Information System (INIS)

Lopez Aldama, D.; Trkov, A.

2005-08-01

The report describes the generation of a test library for a number of code systems used in the analysis of Accelerator Driven Systems (ADS). The generation of the ADS library was undertaken by IAEA-NDS and the data files are available to users at http://wwwnds. iaea.org/ads/ and also as CD-ROM (upon request).The source of the evaluated nuclear data was the JEFF-3.1 library. Processing was carried out using NJOY-99.90 with the local updates at IAEA-NDS. The resulting processed files are available in ACE format for MCNP and in MATXS format for multi-group transport calculations. (author)

A Knowledge Based Recommender System with Multigranular Linguistic Information

Directory of Open Access Journals (Sweden)

Luis Martinez

2008-08-01

Full Text Available Recommender systems are applications that have emerged in the e-commerce area in order to assist users in their searches in electronic shops. These shops usually offer a wide range of items that cover the necessities of a great variety of users. Nevertheless, searching in such a wide range of items could be a very difficult and time-consuming task. Recommender systems assist users to find out suitable items by means of recommendations based on information provided by different sources such as: other users, experts, item features, etc. Most of the recommender systems force users to provide their preferences or necessities using an unique numerical scale of information fixed in advance. In spite of this information is usually related to opinions, tastes and perceptions, therefore, it seems that is usually better expressed in a qualitative way, with linguistic terms, than in a quantitative way, with precise numbers. We propose a Knowledge Based Recommender System that uses the fuzzy linguistic approach to define a flexible framework to capture the uncertainty of the user's preferences. Thus, this framework will allow users to express their necessities in scales closer to their own knowledge, and different from the scale utilized to describe the items.

Trends in Special Library Buildings.

Science.gov (United States)

Cohen, Elaine; Cohen, Aaron

1987-01-01

Examines special library facilities, noting impact of organizational structure, and discusses the concept of information resources management in this context. Development of online and telecommunications systems, corporate and government campuses, and special library systems are identified as reasons for growth of special libraries. Furniture and…

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 von...... Foerster to shed light on how the educational system has used and understood adaptation. In this context, we point out two different approaches to educational adaptation: 1) students adapting to the educational system and 2) the attempt of the educational system to adapt to students through automatized...... system adaptation and recommendation systems. These different understandings constitute a design framework that is used to analyze two current trends: Adaptive learning systems and learning analytics. Finally, the paper discusses the potential of looking at adaptation as recommendation systems...

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 von...... system adaptation and recommendation systems. These different understandings constitute a design framework that is used to analyze two current trends: Adaptive learning systems and learning analytics. Finally, the paper discusses the potential of looking at adaptation as recommendation systems...... Foerster to shed light on how the educational system has used and understood adaptation. In this context, we point out two different approaches to educational adaptation: 1) students adapting to the educational system and 2) the attempt of the educational system to adapt to students through automatized...

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.

Beyond Library Power: Reader's Digest Adds Public Libraries to the Mix.

Science.gov (United States)

Rockfield, Gary

1998-01-01

Describes the Tall Tree Initiative for Library Services, sponsored by the Reader's Digest Foundation and administered by the public and school library systems of Westchester County, New York. The initiative focuses on improving services offered children in the 21st century, and demands a new level of school-public library cooperation. (AEF)

The alternative library

OpenAIRE

Collinson, Timothy; Williams, A.

2004-01-01

Much time and effort has been devoted to designing and developing library Web sites that are easy to navigate by both new students and experienced researchers. In a review of the Southampton Institute Library it was decided that in addition to updating the existing homepage an alternative would be offered. Drawing on theory relating to user interface design, learning styles and creative thinking, an Alternative Library navigation system was added to the more traditional library homepage. The ...

Eye tracking in Library and Information Science

DEFF Research Database (Denmark)

Lund, Haakon

2016-01-01

Purpose The purpose of this paper is to present a systematic literature review of the application of eye-tracking technology within the field of library and information science. Eye-tracking technology has now reached a level of maturity, which makes the use of the technology more accessible....... Subsequently, a growing interest in employing eye tracking as a methodology within library and information science research must be anticipated. Design/methodology/approach The review follows the guidelines set in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations. Two...... reference databases are searched for relevant references: Library and Information Science Abstracts and Library, Information Science and Technology Abstracts. The main selection criteria are peer-reviewed literature that describes the experimental setting, including which eye-tracking equipment was used...

Intelligent Online Store: User Behavior Analysis based Recommender System

Directory of Open Access Journals (Sweden)

Mohamadreza Karimi Alavije

2015-06-01

Full Text Available Recommender systems provide personalised recommendations to users, helping them find their ideal items, also play a key role in encouraging users to make their purchases through websites thus leading to the success of online stores. The collaborative filtering method is one of the most successful techniques utilized in these systems facilitating the provision of recommendations close to that of the customer's taste and need. However the proliferation of both customers and products on offer, the technique faces some issues such as "cold start" and scalability. As such in this paper a new method has been introduced in which user-based collaborative filtering is used at a base method along with a weighted clustering of users based upon demographics in order to improve the results obtained from the system. The implementation of the results of the algorithms demonstrate that the presented approach has a lower RMSE, which means that the system offers improved performance and accuracy and that the resulting recommendations are closer to the taste and preferences of the users.

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.

Development library of finite elements for computer-aided design system of reed sensors

Science.gov (United States)

Kozlov, A. S.; Shmakov, N. A.; Tkalich, V. L.; Labkovskaia, R. I.; Kalinkina, M. E.; Pirozhnikova, O. I.

2018-05-01

The article is devoted to the development of a modern highly reliable element base of devices for security and fire alarm systems, in particular, to the improvement of the quality of contact cores (reed and membrane) of reed sensors. Modeling of elastic sensitive elements uses quadrangular elements of plates and shells, considered in the system of curvilinear orthogonal coordinates. The developed mathematical models and the formed finite element library are designed for systems of automated design of reed switch detectors to create competitive devices alarms. The finite element library is used for the automated system production of reed switch detectors both in series production and in the implementation of individual orders.

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.

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

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

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.

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…

Investigations into Library Web-Scale Discovery Services

Directory of Open Access Journals (Sweden)

Jason Vaughan

2008-03-01

Full Text Available Web-scale discovery services for libraries provide deep discovery to a library’s local and licensed content, and represent an evolution, perhaps a revolution, for end user information discovery as pertains to library collections.  This article frames the topic of web-scale discovery, and begins by illuminating web-scale discovery from an academic library’s perspective – that is, the internal perspective seeking widespread staff participation in the discovery conversation.  This included the creation of a discovery task force, a group which educated library staff, conducted internal staff surveys, and gathered observations from early adopters.  The article next addresses the substantial research conducted with library vendors which have developed these services.  Such work included drafting of multiple comprehensive question lists distributed to the vendors, onsite vendor visits, and continual tracking of service enhancements.  Together, feedback gained from library staff, insights arrived at by the Discovery Task Force, and information gathered from vendors collectively informed the recommendation of a service for the UNLV Libraries.

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.

An Extended-Tag-Induced Matrix Factorization Technique for Recommender Systems

Directory of Open Access Journals (Sweden)

Huirui Han

2018-06-01

Full Text Available Social tag information has been used by recommender systems to handle the problem of data sparsity. Recently, the relationships between users/items and tags are considered by most tag-induced recommendation methods. However, sparse tag information is challenging to most existing methods. In this paper, we propose an Extended-Tag-Induced Matrix Factorization technique for recommender systems, which exploits correlations among tags derived by co-occurrence of tags to improve the performance of recommender systems, even in the case of sparse tag information. The proposed method integrates coupled similarity between tags, which is calculated by the co-occurrences of tags in the same items, to extend each item’s tags. Finally, item similarity based on extended tags is utilized as an item relationship regularization term to constrain the process of matrix factorization. MovieLens dataset and Book-Crossing dataset are adopted to evaluate the performance of the proposed algorithm. The results of experiments show that the proposed method can alleviate the impact of tag sparsity and improve the performance of recommender systems.

Canadian Academic Library Support for International Faculty: Library Experience and Information Needs of Chinese Visiting Scholars at the University of Western Ontario

Directory of Open Access Journals (Sweden)

Shiyi Xie

2012-12-01

Full Text Available International faculty constitute a relatively small proportion of the library user community in Canadian post-secondary institutions, but they are underserved when compared to other user groups on campus, particularly international students. The author obtained first hand information about Chinese visiting scholars at the University of Western Ontario, and in this paper she presents conclusions from her experience regarding the visiting scholars' use of libraries as well as some recommendations for serving international faculty. The author suggests that academic libraries carefully consider international faculty when planning relevant services for diverse user groups. Providing necessary and satisfying library services for this group of patrons is an excellent opportunity to better serve academic communities and to demonstrate that academic libraries are an important partner in supporting their university's international initiatives.

Do you web 2.0? public libraries and social networking

CERN Document Server

Berube, Linda

2011-01-01

Web 2.0 technology is a hot topic at the moment, and public librarians in particular are beginning to feel the pressure to apply these tools. Indeed, Web 2.0 has the potential to transform library services, but only if the policy and strategy for those services are ready to be transformed. The author not only reviews these tools and provides practical advice and case studies on how they can be applied in the public library setting, but also recommends the policies and business cases that begin to create a new strategy for public libraries.particularly geared to the public library settingadvice

TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems

Directory of Open Access Journals (Sweden)

Nan Liang

2018-05-01

Full Text Available In recommender systems (RS, many models are designed to predict ratings of items for the target user. To improve the performance for rating prediction, some studies have introduced tags into recommender systems. Tags benefit RS considerably, however, they are also redundant and ambiguous. In this paper, we propose a hybrid deep learning model TRSDL (tag-aware recommender system based on deep learning to improve the performance of tag-aware recommender systems (TRS. First, TRSDL uses pre-trained word embeddings to represent user-defined tags, and constructs item and user profiles based on the items’ tags set and users’ tagging behaviors. Then, it utilizes deep neural networks (DNNs and recurrent neural networks (RNNs to extract the latent features of items and users, respectively. Finally, it predicts ratings from these latent features. The model not only addresses tag limitations and takes advantage of semantic tag information but also learns more advanced implicit features via deep structures. We evaluated our proposed approach and several baselines on MovieLens-20 m, and the experimental results demonstrate that TRSDL significantly outperforms all the baselines (including the state-of-the-art models BiasedMF and I-AutoRec. In addition, we also explore the impacts of network depth and type on model performance.

Visual system of recovering and combination of information for ENDF (Evaluated Nuclear Data File) format libraries

International Nuclear Information System (INIS)

Ferreira, Claudia A.S. Velloso; Corcuera, Raquel A. Paviotti

1997-01-01

This report presents a data information retrieval and merger system for ENDF (Evaluated Nuclear Data File) format libraries, which can be run on personal computers under the Windows TM environment. The input is the name of an ENDF/B library, which can be chosen in a proper window. The system has a display function which allows the user to visualize the reaction data of a specific nuclide and to produce a printed copy of these data. The system allows the user to retrieve and/or combine evaluated data to create a single file of data in ENDF format, from a number of different files, each of which is in the ENDF format. The user can also create a mini-library from an ENDF/B library. This interactive and easy-to-handle system is a useful tool for Nuclear Data Centers and it is also of interest to nuclear and reactor physics researchers. (author)

Self-Service Charge Systems: Current Technological Applications and Their Implications for the Future Library.

Science.gov (United States)

Mardikian, Jackie

1995-01-01

Discusses a possible shift to self-service check-out systems for academic library patrons. Provides an annotated bibliography of 51 items that discuss the impact of self-service technology on the quality of service and customer satisfaction in libraries, service sectors, banking, and the vending industry. (LRW)

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...

A LITERATURE SURVEY ON RECOMMENDATION SYSTEM BASED ON SENTIMENTAL ANALYSIS

OpenAIRE

Achin Jain; Vanita Jain; Nidhi Kapoor

2016-01-01

Recommender systems have grown to be a critical research subject after the emergence of the first paper on collaborative filtering in the Nineties. Despite the fact that educational studies on recommender systems, has extended extensively over the last 10 years, there are deficiencies in the complete literature evaluation and classification of that research. Because of this, we reviewed articles on recommender structures, and then classified those based on sentiment analysis. The articles are...

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,

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

Directory of Open Access Journals (Sweden)

Mohamed FRIKHA

2015-12-01

Full Text Available 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 preferences and influences from social friends. Accordingly, a user interest ontology is developed to make personalized recommendations out of such information. In this paper, we present a semantic social recommender system employing a user interest ontology and a Tunisian Medical Tourism ontology. Our system can improve the quality of recommendation for Tunisian tourism domain. Finally, our social recommendation algorithm is implemented in order to be used in a Tunisia tourism Website to assist users interested in visiting Tunisia for medical purposes.

A model library for simulation and benchmarking of integrated urban wastewater systems

DEFF Research Database (Denmark)

Saagi, R.; Flores Alsina, Xavier; Kroll, J. S.

2017-01-01

This paper presents a freely distributed, open-source toolbox to predict the behaviour of urban wastewater systems (UWS). The proposed library is used to develop a system-wide Benchmark Simulation Model (BSM-UWS) for evaluating (local/global) control strategies in urban wastewater systems (UWS...

Penerapan INLISlite (Integrated Library System di Kantor Perpustakaan dan Arsip Daerah Kabupaten Pangkep, Sulawesi Selatan

Directory of Open Access Journals (Sweden)

Abdul Hamid

2015-12-01

Full Text Available Information and communication technology (ICT has been undoubtly applied in all fields of life. It provides variety of services in which it is dependent on user needs. The Kantor Perpustakaan dan Arsip Daerah (the District Library and Archieve of Pangkep has been implementing ICT to enhance its services to the citizens of Pangkep. INSLISLite was choosen as its automted library system. The current study investigates how INLIS lite has been implemented in the library, what were the challanges the library faced, and the floating library services of KPAD. The data were collected throughout the representative informans. The study found that INLIS lite needed to be more optimized, the challenges were human resources and budgetary, and the floating library has played important roles to educate the Pangkep island citizens.

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...

Personalized links recommendation based on data mining in adaptive educational hypermedia systems

NARCIS (Netherlands)

Romero, C.; Ventura, S.; Delgado, J.A.; De Bra, P.M.E.; Duval, E.; Klamma, R.; Wolpers, M.

2007-01-01

In this paper, we describe a personalized recommender system that uses web mining techniques for recommending a student which (next) links to visit within an adaptable educational hypermedia system. We present a specific mining tool and a recommender engine that we have integrated in the AHA! system

Recommendations to alarm systems and lessons learned on alarm system implementation

International Nuclear Information System (INIS)

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

2001-11-01

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

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.

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....

A Personalized Tag-Based Recommendation in Social Web Systems

DEFF Research Database (Denmark)

Durao, Frederico; Dolog, Peter

2009-01-01

-based recommender system which suggests similar Web pages based on the similarity of their tags from a Web 2.0 tagging application. The proposed approach extends the basic similarity calculus with external factors such as tag popularity, tag representativeness and the affinity between user and tag. In order...... 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......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...

Cross-section libraries and kerma factors

International Nuclear Information System (INIS)

Little, R.C.; MacFarlane, R.E.; Seamon, R.E.

1991-01-01

A large amount of data is required in order to accurately simulate various aspects of Cold Neutron Sources using radiation transport codes such as MCNP and TWODANT. In particular, the following types of data are needed: couple neutron/photon transport libraries, neutron thermal S(α,β) data, response function data (including energy deposition), and proton interaction data. This paper concentrates on the coupled neutron/photon transport libraries and energy deposition. Data libraries available to radiation transport codes are obtained as a result of efforts in many areas, including differential and integral measurements, theoretical model codes, data evaluations, data processing, and data testing. A wide variety of data libraries are available to users of radiation transport codes, including pointwise and multigroup libraries. At Los Alamos, the authors generally recommend the use of data libraries derived from ENDF/B-V. It is often important to know how much energy is deposited in various regions of a device. This problem is typically modeled in radiation transport codes by folding the calculated fluences with an energy-dependent 'heating number'. The heating number represents the average energy deposited locally per collision. Calculation of these heating numbers from evaluated data libraries is fraught with difficulty. Many past difficulties related to energy deposition should be resolved by the release of ENDF/B-VI

Linking a Medical User Survey to Management for Library Effectiveness: II, A Checkland Soft Systems Study.

Science.gov (United States)

Brember, V. L.

1985-01-01

Presents Checkland's soft systems methodology, discusses it in terms of the systems approach, and illustrates how it was used to relate evidence of user survey to practical problems of library management. Difficulties in using methodology are described and implications for library management and information science research are presented. (8…

Biosignal controlled recommendation in entertainment systems

NARCIS (Netherlands)

Liu, H.

2010-01-01

With the explosive growth of the entertainment contents and the ubiquitous access of them via fixed or mobile computing devices, recommendation systems become essential tools to help the user to find the right entertainment at the right time and location. I envision that by integrating the bio

Privacy-preserving recommender systems in dynamic environments

NARCIS (Netherlands)

Erkin, Z.; Veugen, T.; Lagendijk, R.L.

2013-01-01

Recommender systems play a crucial role today in on-line applications as they improve the customer satisfaction, and at the same time results in an increase in the profit for the service provider. However, there are serious privacy concerns as such systems rely on the personal data of the customers.

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.

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

Calculating the Fee-Based Services of Library Institutions: Theoretical Foundations and Practical Challenges

Directory of Open Access Journals (Sweden)

Sysіuk Svitlana V.

2017-05-01

Full Text Available The article is aimed at highlighting features of the provision of the fee-based services by library institutions, identifying problems related to the legal and regulatory framework for their calculation, and the methods to implement this. The objective of the study is to develop recommendations to improve the calculation of the fee-based library services. The theoretical foundations have been systematized, the need to develop a Provision for the procedure of the fee-based services by library institutions has been substantiated. Such a Provision would protect library institution from errors in fixing the fee for a paid service and would be an informational source of its explicability. The appropriateness of applying the market pricing law based on demand and supply has been substantiated. The development and improvement of accounting and calculation, taking into consideration both industry-specific and market-based conditions, would optimize the costs and revenues generated by the provision of the fee-based services. In addition, the complex combination of calculation leverages with development of the system of internal accounting together with use of its methodology – provides another equally efficient way of improving the efficiency of library institutions’ activity.

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.

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.

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