Recommender systems

Results: 381



#Item
231Data mining / Cluster analysis / Structure / Statistics / Recommender systems / Machine learning

Recommender Systems Based on Navigation Path Features Wolfgang Gaul, Lars Schmidt-Thieme {Wolfgang.Gaul,Lars.Schmidt-Thieme}@wiwi.uni-karlsruhe.de Institut für Entscheidungstheorie und Unternehmensforschung

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Source URL: ai.stanford.edu

Language: English - Date: 2001-07-19 13:30:19
232Information systems / Science / Collaboration / Social information processing / Information retrieval / Collaborative filtering / Recommender system / Cold start / Cluster analysis / Statistics / Information science / Collective intelligence

Eigentaste 5.0: Constant-Time Adaptability in a Recommender System Using Item Clustering Tavi Nathanson Ephrat Bitton

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Source URL: www.ieor.berkeley.edu

Language: English - Date: 2007-08-31 03:30:28
233Human–computer interaction / Personalization / Science / Collective intelligence / Information science / Information retrieval / Recommender system

Problem Description Study how to adaptively aggregate recommender systems on a per-user and per-item basis when combining results from complementing prediction methods. Create a flexible algorithm that combines multiple

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Source URL: www.bjorkoy.com

Language: English - Date: 2014-07-08 05:02:10
234Mathematics / Information science / Recommender system / Information retrieval / Social information processing / GroupLens Research / Collaborative filtering / Cold start / Slope One / Algebra / Collaboration / Collective intelligence

India-Norway Workshop on Web Concepts and Technologies, Trondheim, Norway, October 3rd, 2011 Adaptive Aggregation of Recommender Systems Olav Bjørkøy ([removed]) Department of Computer Sciences Norwegian U

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Source URL: www.bjorkoy.com

Language: English - Date: 2014-07-08 05:02:10
235Collective intelligence / Information systems / Recommender systems / Human–computer interaction / Collaborative filtering / Cold start / Personalization / Information filtering system / E-learning / Information science / Information retrieval / Science

Exploiting User Preference for Online Learning in Web Content Optimization Systems JIANG BIAN, Microsoft Research BO LONG, LinkedIn LIHONG LI, Microsoft Research TAESUP MOON, University of California at Berkerley

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Source URL: www.yichang-cs.com

Language: English - Date: 2013-09-02 22:30:25
236Recommender systems / Information retrieval / Social information processing / Collaborative filtering / Science / Human behavior / Information science / Collective intelligence / Collaboration

Microsoft PowerPoint - WWW_2012_Facebook_Social_Rec_Web.ppt

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2012-05-23 01:57:06
237Collective intelligence / Information systems / Human–computer interaction / Recommender system / Collaborative filtering / GroupLens Research / Personalization / Preference elicitation / Cold start / Information science / Information retrieval / Collaboration

On User Recommendations Based on Multiple Cues G. Dudek and M. Garden Centre for Intelligent Machines, McGill University 3480 University St, Montr´eal, Qu´ebec, Canada H3A 2A7 dudek,mgarden @cim.mcgill.ca

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Source URL: www.cim.mcgill.ca

Language: English - Date: 2003-11-11 11:11:07
238Complex systems theory / Social networks / Peer-to-peer / Social networking service / Software agent / OpenSocial / Internet privacy / Recommender system / Distributed social network / Computing / Technology / Software

Paper Title (use style: paper title)

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Source URL: ceur-ws.org

Language: English - Date: 2012-09-06 10:09:56
239Internet / Marketing / Recommender system / Personalization / Yahoo! / World Wide Web / Information science / Information retrieval

User Action Interpretation for Personalized Content Optimization in Recommender Systems Anlei Dong Jiang Bian

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Source URL: www.yichang-cs.com

Language: English - Date: 2011-08-09 18:19:54
240Multimodal interaction / Computing / Human communication / Human–computer interaction / Social information processing / Cobrowsing / Recommender system / Browse / User agent / Collaboration / Human–computer interaction / Groupware

Knowledge-Based Systems[removed]–431 www.elsevier.com/locate/knosys Let’s browse: a collaborative browsing agent H. Lieberman*, N. van Dyke, A. Vivacqua Media Laboratory, Massachusetts Institute of Technology, C

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Source URL: agents.media.mit.edu

Language: English - Date: 2002-09-10 21:51:43
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