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    GFKL
    2007
    Springer
    180views Data Mining» more  GFKL 2007»
    Content-based Dimensionality Reduction for Recommender Systems
    14 years 1 months ago
    Content-based Dimensionality Reduction for Recommender Systems
    Download  delab.csd.auth.gr
    Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
    Panagiotis Symeonidis
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    KDD
    2009
    ACM
    162views Data Mining» more  KDD 2009»
    TrustWalker: a random walk model for combining trust-based and item-based recommendation
    14 years 8 months ago
    TrustWalker: a random walk model for combining trust-based and item-based recommendation
    Download  www.cs.sfu.ca
    Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations ...
    Mohsen Jamali, Martin Ester
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    PROCEDIA
    2010
    69views more  PROCEDIA 2010»
    A simulation for content-based and utility-based recommendation of candidate coalitions in virtual creativity teams
    13 years 6 months ago
    A simulation for content-based and utility-based recommendation of candidate coalitions in virtual creativity teams
    Download  dspace.ou.nl
    Psychological literature shows that people do not always make rational choices with respect to whom to collaborate with. Providing the value of candidate connections may help them...
    Rory L. L. Sie, Marlies Bitter-Rijpkema, Peter B. ...
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    IIR
    2010
    127views Information Technology» more  IIR 2010»
    An IR-Based Approach for Tag Recommendation
    13 years 9 months ago
    An IR-Based Approach for Tag Recommendation
    Download  sunsite.informatik.rwth-aachen.de
    Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
    Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
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    ICDM
    2005
    IEEE
    168views Data Mining» more  ICDM 2005»
    A Scalable Collaborative Filtering Framework Based on Co-Clustering
    14 years 1 months ago
    A Scalable Collaborative Filtering Framework Based on Co-Clustering
    Download  hercules.ece.utexas.edu
    Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
    Thomas George, Srujana Merugu
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