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Information filtering system
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#	Item
171	Hebbian Algorithms for a Digital Library Recommendation System Francis Heylighen CLEA, Free University of Brussels http://pcp.vub.ac.be/HEYL.html Johan Bollen Add to Reading List Source URL: cleamc11.vub.ac.be Language: English - Date: 2014-05-02 12:27:25 Information Natural language processing Data mining Semantics Recommender system Collaborative filtering Subject Spreading activation Relevance Information science Science Information retrieval
172	Collaborative Filtering of Color Aesthetics Peter O’Donovan University of Toronto Aseem Agarwala Adobe Add to Reading List Source URL: www.dgp.toronto.edu Language: English - Date: 2014-06-14 23:49:27 Statistics Collaboration Natural language processing Recommender system Collaborative filtering Latent semantic analysis Lab color space Lightness Aesthetics Information science Information retrieval Algebra
173	User Model User-Adap Inter[removed]:101–123 DOI[removed]s11257[removed]x ORIGINAL PAPER Recommender systems: from algorithms to user experience Add to Reading List Source URL: blog.namics.com Language: English - Date: 2013-02-14 03:12:07 Recommender systems Information retrieval Information systems GroupLens Research Collaborative filtering Cold start Information filtering system MovieLens Personalization Information science Human–computer interaction Collective intelligence
174	Recommenders Everywhere: The WikiLens Community-Maintained Recommender System Dan Frankowski, Shyong K. (Tony) Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek, Michael Cassano, John Riedl GroupLens Research, University o Add to Reading List Source URL: www-users.cs.umn.edu Language: English - Date: 2007-09-05 13:54:20 Human–computer interaction Information retrieval Science Collaboration Web 2.0 GroupLens Research Recommender system Collaborative filtering Information filtering system Information science Information Collective intelligence
175	Do You Want to Know? Recommending Strangers in the Enterprise Ido Guy, Sigalit Ur, Inbal Ronen, Adam Perer, Michal Jacovi * IBM Haifa Research Lab Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2012-01-31 03:15:38 Recommender system Information society Social networking service Social software Culture Collaborative filtering Collaboration Social information processing Technology
176	International Scholarly Research Network ISRN Artificial Intelligence Volume 2012, Article ID[removed], 8 pages doi:[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-14 09:14:28 Infographics Scientific modeling Computer graphics Recommender system Information retrieval Collaborative filtering Visualization Information visualization Information filtering system Science Computational science Information science
177	Recommending Social Media Content to Community Owners Inbal Ronen, Ido Guy, Elad Kravi*, Maya Barnea IBM Research-Haifa, Israel {inbal, mayab}@il.ibm.com Yahoo! Labs, Haifa, Israel [removed] Add to Reading List Source URL: www.research.ibm.com Language: English* - Date: 2014-05-25 06:20:15 Internet culture Collaboration Collective intelligence Information retrieval Recommender system Collaborative filtering Social software Social networking service Online community Social information processing Technology Information society
178	Personalized Social Search Based on the User’s Social Network David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek-Koifman, Nadav Har’el, Inbal Ronen, Erel Uziel, Sivan Yogev Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2011-02-01 07:35:26 Personalized search Social bookmarking Recommender system Social networking service Web search query Internet privacy Collaborative filtering Query expansion Information science Information retrieval Personalization
179	An Analysis of Tag-Recommender Evaluation Procedures Stephan Doerfel Robert Jäschke University of Kassel Add to Reading List Source URL: www.kde.cs.uni-kassel.de Language: English - Date: 2014-04-29 09:24:39 Science Collaboration Collaborative filtering Collective intelligence Social information processing Mathematics Core Information filtering system Algorithm Information science Information retrieval Recommender systems
180	Microsoft Word - RecSysBeehiveSonarCRC.doc Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2011-02-01 07:35:28 Blog hosting services Web 2.0 Collective intelligence Social media Recommender system Collaborative filtering Cold start Social networking service Social software World Wide Web Social information processing Computing

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