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Interweaving Trend and User Modeling for Personalized News Recommendation Qi Gao, Fabian Abel, Geert-Jan Houben, Ke Tao Web Information Systems Group Delft University of Technology Delft, the Netherlands Email:{q.gao, f.
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Document Date: 2011-08-09 03:16:49

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File Size: 1,47 MB

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City

Shanghai / New York / Girona / /

Company

Last.fm / New York Times / BBC / Twitter / CNN / /

Country

Qatar / United States / China / Spain / /

Currency

USD / /

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Facility

Ke Tao Web Information Systems Group Delft University of Technology Delft / /

IndustryTerm

news media / technology entities / recommendation algorithm / external Web resources / early warning systems / news recommendation algorithm / content-based algorithm / social web / linked Web resources / social network / Web services / /

Organization

US Federal Reserve / Ke Tao Web Information Systems Group Delft University of Technology Delft / IDF / European Union / Interpol / /

Person

SER M ODELING / Leslie Nielsen / Leslie Nielson / Jan Houben / Fabian Abel / /

PublishedMedium

New York Times / /

Technology

content-based algorithm / news recommendation algorithm / same recommendation algorithm / /

SocialTag