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2011, ISBN 0521493366, Volume 9780521493369, xv, 335
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to... 
Personal communication service systems | Recommender systems (Information filtering)
Book
Physics Reports, ISSN 0370-1573, 10/2012, Volume 519, Issue 1, pp. 1 - 49
The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive... 
Networks | Recommender systems | Information filtering | EMPIRICAL-ANALYSIS | PHYSICS, MULTIDISCIPLINARY | INFORMATION | MODEL | MATRIX COMPLETION | THE-ART | LINK-PREDICTION | WORD-OF-MOUTH | RANDOM-WALK | COMPLEX NETWORKS | TRUST | Physicists | Analysis | Algorithms
Journal Article
2014, 2014, ISBN 9781493905300, xiv, 306
As an area, Technology Enhanced Learning (TEL) aims to design, develop and test socio-technical innovations that will support and enhance learning practices of... 
Educational technology | Recommender systems (Information filtering) | Artificial Intelligence (incl. Robotics) | Information Systems and Communication Service | Education (general) | Computer Science
Book
Knowledge-Based Systems, ISSN 0950-7051, 07/2013, Volume 46, pp. 109 - 132
Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently,... 
Social | Internet of things | Collaborative filtering | Similarity measures | Prediction | Hybrid | Recommender systems | Evaluation metrics | Recommendation | Cold-start | ALGORITHM | SIMILARITY MEASURE | MODEL | OF-THE-ART | SOCIAL NETWORK | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | FUZZY-LOGIC | EXPLANATIONS | FRAMEWORK | TAG | TRUST | Surveys | Algorithms | Demographics | Filtration | Filtering | Classification | Evolution | Knowledge base | Internet
Journal Article
2008, Series in machine perception and artificial intelligence, ISBN 9789812797018, Volume 70, x, 323
Book
Information Fusion, ISSN 1566-2535, 03/2014, Volume 16, Issue 1, pp. 3 - 17
Journal Article
by Celma and Òscar
2010, 1st Edition., ISBN 9783642132865, 201
With so much more music available these days, traditional ways of finding music have diminished. Today radio shows are often programmed by large corporations... 
Applications of Computing | Music collection | Music appreciation | Electronic music | Artificial Intelligence (incl. Robotics) | Discrete Mathematics in Computer Science | Music | Computer Science | Information Storage and Retrieval
eBook
ACM Transactions on Management Information Systems (TMIS), ISSN 2158-656X, 01/2016, Volume 6, Issue 4, pp. 1 - 19
This article discusses the various algorithms that make up the Netflix recommender system, and describes its business purpose. We also describe the role of... 
Recommender systems
Journal Article