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    KDD
    2008
    ACM
    155views Data Mining» more  KDD 2008»
    Factorization meets the neighborhood: a multifaceted collaborative filtering model
    14 years 9 months ago
    Factorization meets the neighborhood: a multifaceted collaborative filtering model
    Download  public.research.att.com
    Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
    Yehuda Koren
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    TKDD
    2010
    121views more  TKDD 2010»
    Factor in the neighbors: Scalable and accurate collaborative filtering
    13 years 7 months ago
    Factor in the neighbors: Scalable and accurate collaborative filtering
    Download  public.research.att.com
    Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
    Yehuda Koren
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    SDM
    2010
    SIAM
    217views Data Mining» more  SDM 2010»
    Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
    13 years 7 months ago
    Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
    Download  www.cs.illinois.edu
    Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
    Quanquan Gu, Jie Zhou, Chris H. Q. Ding
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    IIR
    2010
    201views Information Technology» more  IIR 2010»
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    13 years 10 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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    BCI
    2009
    IEEE
    207views Information Technology» more  BCI 2009»
    On the Performance of SVD-Based Algorithms for Collaborative Filtering
    14 years 4 months ago
    On the Performance of SVD-Based Algorithms for Collaborative Filtering
    Download  users.uom.gr
    —In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
    Manolis G. Vozalis, Angelos I. Markos, Konstantino...
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