Cold start

Results: 194



#Item
101Optimal Design for Social Learning Yeon-Koo Che∗ Johannes H¨orner†  November 14, 2013

Optimal Design for Social Learning Yeon-Koo Che∗ Johannes H¨orner† November 14, 2013

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Source URL: federation.ens.fr

Language: English - Date: 2013-11-18 04:25:24
102User Model User-Adap Inter[removed]:101–123 DOI[removed]s11257[removed]x ORIGINAL PAPER Recommender systems: from algorithms to user experience

User Model User-Adap Inter[removed]:101–123 DOI[removed]s11257[removed]x ORIGINAL PAPER Recommender systems: from algorithms to user experience

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Source URL: blog.namics.com

Language: English - Date: 2013-02-14 03:12:07
103Microsoft Word - RecSysBeehiveSonarCRC.doc

Microsoft Word - RecSysBeehiveSonarCRC.doc

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:28
104Microsoft Word - fp102-guy.doc

Microsoft Word - fp102-guy.doc

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:35
105Applying Collaborative Filtering Techniques to Movie Search for Better Ranking and Browsing Seung-Taek Park David M. Pennock

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
106Microsoft Word - fp034-guy.doc

Microsoft Word - fp034-guy.doc

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Source URL: www.research.ibm.com

Language: English - Date: 2011-02-01 07:35:34
107Context-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

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
108Trust 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

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
109PIE MENU BAKED PIES COLD PIES  These pies start with our 10” flaky crusts

PIE MENU BAKED PIES COLD PIES These pies start with our 10” flaky crusts

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Source URL: happyeatery.com

Language: English - Date: 2014-11-14 17:34:13
110Microsoft Word - Rodney Jones formatted 48pp.doc

Microsoft Word - Rodney Jones formatted 48pp.doc

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Source URL: www.policyarchitects.org

Language: English - Date: 2007-01-04 14:18:34