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    SDM
    2011
    SIAM
    179views Data Mining» more  SDM 2011»
    Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering
    12 years 7 months ago
    Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering
    Download  www.computing.edu.au
    Truyen Tran, Dinh Q. Phung, Svetha Venkatesh
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    IIR
    2010
    201views Information Technology» more  IIR 2010»
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    13 years 6 months ago
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    Download  sunsite.informatik.rwth-aachen.de
    Recommender systems are widely used in E-Commerce for making automatic suggestions of new items that could meet the interest of a given user. Collaborative Filtering approaches co...
    Nicola Barbieri, Massimo Guarascio, Ettore Ritacco
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    ECIR
    2006
    Springer
    124views Information Technology» more  ECIR 2006»
    A User-Item Relevance Model for Log-Based Collaborative Filtering
    13 years 6 months ago
    A User-Item Relevance Model for Log-Based Collaborative Filtering
    Download  ict.ewi.tudelft.nl
    Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
    Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
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    UAI
    2003
    116views Artificial Intelligence» more  UAI 2003»
    Preference-based Graphic Models for Collaborative Filtering
    13 years 6 months ago
    Preference-based Graphic Models for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
    Rong Jin, Luo Si, ChengXiang Zhai
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    STAIRS
    2008
    169views Education» more  STAIRS 2008»
    Probabilistic Association Rules for Item-Based Recommender Systems
    13 years 6 months ago
    Probabilistic Association Rules for Item-Based Recommender Systems
    Download  hal.inria.fr
    Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
    Sylvain Castagnos, Armelle Brun, Anne Boyer
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