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Information filtering system
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#	Item
51	Personalization Showdown: Nara Logics’ Neuroscience-Based AI Platform Vs. Collaborative Filtering By Denise Ichinco, Cognitive and Computer Scientist/Principal Engineer, Nara Logics, Inc. At Nara Logics, we’re often Add to Reading List Source URL: s3.amazonaws.com Language: English - Date: 2015-05-14 12:05:46 Media technology Collaboration Social information processing Human–computer interaction Collaborative filtering Collective intelligence Recommender system Personalization Algorithm Software Information science Information retrieval
52	DUTY STATEMENT STATE TREASURER’S OFFICE Division: Information Technology PART A Position No: Add to Reading List Source URL: www.treasurer.ca.gov Language: English - Date: 2015-04-28 15:56:34 Security Spam filtering Computer security Malware Anti-spam techniques Systems management Computer virus Information security Antivirus software System software Computing
53	A Methodology for Learning, Analyzing, and Mitigating Social Influence Bias in Recommender Systems Sanjay Krishnan, Jay Patel, Michael J. Franklin, Ken Goldberg Department of Electrical Engineering and Computer Sciences, Add to Reading List Source URL: amplab.cs.berkeley.edu Language: English - Date: 2014-07-25 16:01:19 Science Information science Recommender system Rating scale Collaborative filtering Social psychology Intelligence quotient Psychometrics Behavior Chess rating systems
54	Microsoft Word - ijita12-3.doc Add to Reading List Source URL: www.foibg.com Language: English - Date: 2015-02-02 08:42:06 Information science Adaptive resonance theory Collaborative filtering Recommender system Artificial neuron Information filtering system Neural networks Science Cybernetics
55	YFilter at TREC-9 Yi Zhang Jamie Callan School of Computer Science Carnegie Mellon University Pittsburgh, PA 15232, USA Add to Reading List Source URL: trec.nist.gov Language: English Relevance feedback Text Retrieval Conference Recommender system Relevance Tf*idf Query expansion Information filtering system Document retrieval Information science Information retrieval Science
56	Exploiting Social #-Tagging Behavior in Twitter for Information Filtering and Recommendation [TREC 2011 – Microblog Track] Ernesto Diaz-Aviles Patrick Siehndel Add to Reading List Source URL: trec.nist.gov Language: English Collective intelligence Computer jargon Information retrieval Web 2.0 Hashtag Tag Recommender system Information Twitter World Wide Web
57	Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions Qiang Tang and Jun Wang APSIA group, SnT, University of Luxembourg 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg {qiang.tang, jun.wa Add to Reading List Source URL: eprint.iacr.org Language: English - Date: 2015-04-22 03:51:15 Human behavior Computing Recommender system Eval Cold start Collaborative filtering Slope One Collective intelligence Collaboration Information science
58	Microsoft Word - IADIS_submission Add to Reading List Source URL: webscope.sandbox.yahoo.com Language: English - Date: 2014-11-13 16:09:24 Collaborative filtering Collective intelligence Social information processing Yahoo! Recommender system Jaccard index Nearest neighbor search Similarity Music information retrieval Information science Information retrieval Search algorithms
59	Microsoft Word - iui_ScenarioOrientedRecommendaion_short.doc Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2007-03-01 13:09:41 Science Collective intelligence Collaboration Recommender system Technical communication Collaborative filtering User-centered design Open Mind Common Sense Object-oriented design Artificial intelligence Human–computer interaction Information science
60	Collaborative Prediction and Ranking with Non-Random Missing Data Benjamin M. Marlin Richard S. Zemel Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2009-08-17 20:00:28 Estimation theory Statistical theory Statistical models Collaborative filtering Recommender system Regression analysis Mixture model Expectation–maximization algorithm Cross-validation Statistics Machine learning Information retrieval