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    ESANN
    2007
    100views Neural Networks» more  ESANN 2007»
    Collaborative Filtering with interlaced Generalized Linear Models
    13 years 6 months ago
    Collaborative Filtering with interlaced Generalized Linear Models
    Download  www.dice.ucl.ac.be
    Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
    Nicolas Delannay, Michel Verleysen
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    FUZZY
    1997
    Springer
    166views Fuzzy Logic» more  FUZZY 1997»
    Optimizing Video Signal Processing Algorithms by Evolution Strategies
    13 years 8 months ago
    Optimizing Video Signal Processing Algorithms by Evolution Strategies
    Download  www-nt.e-technik.uni-dortmund.de
    Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of hum...
    H. Blume, O. Franzen, M. Schmidt
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    CIKM
    2004
    Springer
    112views Information Technology» more  CIKM 2004»
    Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
    13 years 10 months ago
    Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
    Download  www.cs.cmu.edu
    Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
    Luo Si, Rong Jin
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    STOC
    2004
    ACM
    145views Algorithms» more  STOC 2004»
    Using mixture models for collaborative filtering
    14 years 4 months ago
    Using mixture models for collaborative filtering
    Download  www.cs.cornell.edu
    A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
    Jon M. Kleinberg, Mark Sandler
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    CSCW
    1998
    ACM
    211views Social Sciences» more  CSCW 1998»
    Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
    13 years 8 months ago
    Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
    Download  www.grouplens.org
    Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
    Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
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