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Information filtering system
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#	Item
111	Recommending Items in Social Tagging Systems Using Tag and Time Information Emanuel Lacic∗ Dominik Kowald∗ Add to Reading List Source URL: web.ing.puc.cl Language: English - Date: 2014-08-17 22:33:29 Collaboration Collective intelligence Information retrieval Recommender systems Collaborative filtering GroupLens Research Information filtering system Social bookmarking Tag Social information processing Information science Information
112	Social Tagging Recommender Systems Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert J¨aschke, Andreas Hotho, Gerd Stumme, and Panagiotis Symeonidis Abstract The new generation of Web application Add to Reading List Source URL: www.kbs.uni-hannover.de Language: English - Date: 2015-04-09 16:46:04 Web 2.0 Social information processing Information retrieval Social bookmarking Tag Recommender system Folksonomy Cold start Collaborative filtering Collective intelligence Information World Wide Web
113	A Crowd of Your Own: Crowdsourcing for On-Demand Personalization Peter Organisciak1, Jaime Teevan2, Susan Dumais2, Robert C. Miller3, Adam Tauman Kalai2 1University 2Microsoft Research of Illinois at Urbana-Champaign Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-08-06 19:43:32 Science Collaboration Human–computer interaction Personalization World Wide Web Collaborative filtering Crowdsourcing Recommender system Taste Information science Social information processing Information retrieval
114	Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr Dominik Kowald Emanuel Laci´c Add to Reading List Source URL: web.ing.puc.cl Language: English - Date: 2014-08-17 22:37:53 Recommender systems Information retrieval Social information processing Science Collaborative filtering GroupLens Research Cold start Information filtering system Apache Solr Information science Collective intelligence Information systems
115	Popular Books and Linked Data: Some Results for the ESWC’14 RecSys Challenge Michael Schuhmacher, Christian Meilicke Research Group Data and Web Science, University of Mannheim {michael,christian}@informatik.uni-mannhe Add to Reading List Source URL: 2014.eswc-conferences.org Language: English - Date: 2014-04-20 05:49:06 Machine learning Semantic Web World Wide Web Science Statistical classification Recommender system Collaborative filtering Cold start Naive Bayes classifier Statistics Information science Collective intelligence
116	GiveALink: Mining a Semantic Network of Bookmarks for Web Search and Recommendation Lubomira Stoilova Todd Holloway Add to Reading List Source URL: carl.cs.indiana.edu Language: English - Date: 2014-09-06 23:24:32 Computing Social bookmarking GiveALink.org World Wide Web Information retrieval Collaborative filtering Recommender system Semantic similarity Bookmark Software Collaboration Social information processing
117	Use of Time-Aware Language Model in Entity Driven Filtering System Patrice Bellot Vincent Bouvier Aix-Marseille Universit´e Kware / Aix-Marseille Universit´e CNRS, LSIS UMR 7296 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-10-31 05:16:50 Information retrieval Artificial intelligence Computational linguistics Data mining Tf*idf Text Retrieval Conference Document classification Entity Science Information science Natural language processing
118	Profiling knowledge workers using open online profiles Jo¨el Cox Suzan Verberne Add to Reading List Source URL: bnaic2013.tudelft.nl Language: English - Date: 2013-10-31 03:32:59 Social information processing Information retrieval Knowledge representation LinkedIn Web 2.0 Recommender system Personalization User profile Collaborative filtering Information science World Wide Web Social media
119	A comprehensive survey of neighborhood-based recommendation methods Xia Ning, Christian Desrosiers and George Karypis Abstract Among collaborative recommendation approaches, methods based on nearest-neighbors still enjoy Add to Reading List Source URL: glaros.dtc.umn.edu Language: English - Date: 2015-04-14 23:21:04 Information retrieval Human–computer interaction Collaboration Science Social information processing Recommender system Collaborative filtering Cold start GroupLens Research Information science Algebra Collective intelligence
120	Beyond Clicks: Dwell Time for Personalization Xing Yi Liangjie Hong Erheng Zhong Nathan Nan Liu Suju Rajan {xingyi, liangjie, erheng, nanliu, suju}-inc.com Personalization Sciences, Yahoo Labs, Sunnyvale, CA 94089, Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2014-10-02 03:15:59 Human–computer interaction Software Information Collaborative filtering Collective intelligence Recommender system Usability Personalization Facebook Information science Information retrieval Social information processing

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