Information filtering system

Results: 370



#Item
181Collaboration / Collective intelligence / Computing / Social information processing / Recommender systems / Collaborative filtering / Cold start / Tag / Information filtering system / Information science / Information / Information retrieval

Microsoft Word - fp102-guy.doc

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:35
182Collective intelligence / Information systems / Collaboration / Recommender system / Collaborative filtering / Yahoo! / Bing / GroupLens Research / Cold start / Information science / Information retrieval / Internet search engines

Applying Collaborative Filtering Techniques to Movie Search for Better Ranking and Browsing Seung-Taek Park David M. Pennock

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Source URL: dpennock.com

Language: English - Date: 2007-11-08 11:48:21
183Collective intelligence / Collaboration / Information systems / Collaborative filtering / Information filtering system / GroupLens Research / Easyrec / Social information processing / Information science / Recommender systems

Workshop on Social Recommender Systems Ido Guy Li Chen Michelle X. Zhou

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:33
184Human–computer interaction / Data mining / Information / Collective intelligence / Social information processing / Collaborative filtering / Recommender system / Web mining / Personalization / Information science / Statistics / Information retrieval

Utilizing Content to Enhance a Usage-Based Method for Web Recommendations Based on Q-Learning

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Source URL: aaai.org

Language: English - Date: 2008-04-16 16:37:09
185Collaboration / Recommender system / Social networking service / Collaborative filtering / PlayStation Home / Web 2.0 / X Window System / Widget / Software / Social information processing / Computing

Do You Know? Recommending People to Invite into Your Social Network Ido Guy*, Inbal Ronen*, Eric Wilcox** *IBM Haifa Research Lab ** IBM Almaden Research Center Mt. Carmel

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:32
186Human behavior / Information retrieval / Collective intelligence / Information systems / Recommender system / Collaborative filtering / Cold start / Social bookmarking / Information filtering system / Collaboration / Information science / Social information processing

Microsoft Word - fp034-guy.doc

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:34
187World Wide Web / Social information processing / Collaboration / Web 2.0 / Facebook / Recommender system / Collaborative filtering / Bing / Personalized search / Information science / Information retrieval / Software

A new level of social search: discovering the user’s opinion before he can make one Mohammad Raza Microsoft Research Cambridge April 2011 Abstract

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Source URL: research.microsoft.com

Language: English - Date: 2011-04-20 11:49:10
188Web 2.0 / Blog hosting services / Social media / Information retrieval / Recommender system / Collaborative filtering / Social networking service / Six degrees of separation / Orkut / World Wide Web / Social information processing / Collaboration

“Make New Friends, but Keep the Old” – Recommending People on Social Networking Sites Jilin Chen*, Werner Geyer**, Casey Dugan**, Michael Muller**, Ido Guy*** *University of Minnesota 200 Union Street SE Minneapoli

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:27
189Diff / Science / Collective intelligence / Information retrieval / Collaborative filtering / Cold start / Recommender system / Computing / Information science

Context-Aware Recommender Systems Gediminas Adomavicius, Alexander Tuzhilin Abstract The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce

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Source URL: ids.csom.umn.edu

Language: English - Date: 2010-02-14 22:29:00
190Information science / Reputation management / Sociology / Science / Human–computer interaction / Collaborative filtering / Recommender system / Trust metric / Cold start / Collaboration / Collective intelligence / Social information processing

Trust Metrics in Recommender Systems Paolo Massa and Paolo Avesani 1 Introduction Recommender Systems (RS[removed]have the goal of suggesting to every user the items that might be of interest for her. In particular, RSs ba

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Source URL: www.gnuband.org

Language: English - Date: 2012-09-04 09:15:47
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