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    » Evaluation of Mixed-Space Collaboration
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    SDM
    2010
    SIAM
    149views Data Mining» more  SDM 2010»
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    13 years 10 months ago
    Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
    Download  www.cs.cmu.edu
    Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
    Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
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    TRECVID
    2008
    119views Internet Technology» more  TRECVID 2008»
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    13 years 9 months ago
    LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
    Download  www-nlpir.nist.gov
    This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
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    AAAI
    2006
    148views Intelligent Agents» more  AAAI 2006»
    Bookmark Hierarchies and Collaborative Recommendation
    13 years 9 months ago
    Bookmark Hierarchies and Collaborative Recommendation
    Download  informatics.indiana.edu
    GiveALink.org is a social bookmarking site where users may donate and view their personal bookmark files online securely. The bookmarks are analyzed to build a new generation of i...
    Benjamin Markines, Lubomira Stoilova, Filippo Menc...
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    DAIS
    2006
    135views Distributed And Parallel Com...» more  DAIS 2006»
    An Application Framework for Nomadic, Collaborative Applications
    13 years 9 months ago
    An Application Framework for Nomadic, Collaborative Applications
    Download  www.jaimz.org
    To maintain availability and responsiveness, mobile applications sharing data often work on their own copy and transmit local changes to other participants. Existing systems for re...
    James O'Brien, Marc Shapiro
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    RECSYS
    2010
    ACM
    249views Control Systems» more  RECSYS 2010»
    Recommending twitter users to follow using content and collaborative filtering approaches
    13 years 8 months ago
    Recommending twitter users to follow using content and collaborative filtering approaches
    Download  irserver.ucd.ie
    Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
    John Hannon, Mike Bennett, Barry Smyth
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