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    IIR
    2010
    201views Information Technology» more  IIR 2010»
    An Empirical Comparison of Collaborative Filtering Approaches on Netflix Data
    13 years 9 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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    EUSFLAT
    2003
    100views Fuzzy Logic» more  EUSFLAT 2003»
    Evaluating the informative quality of web documents using fuzzy linguistic techniques
    13 years 9 months ago
    Evaluating the informative quality of web documents using fuzzy linguistic techniques
    Download  www.eusflat.org
    Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy linguistic evaluation method of We...
    Enrique Herrera-Viedma, Eduardo Peis, Jesus Canelo...
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    CNL
    2009
    136views Natural Language Processing» more  CNL 2009»
    Writing Clinical Practice Guidelines in Controlled Natural Language
    13 years 8 months ago
    Writing Clinical Practice Guidelines in Controlled Natural Language
    Download  attempto.ifi.uzh.ch
    Abstract. Clinicians could benefit from decision support systems incorporating the knowledge contained in clinical practice guidelines. However, the unstructured form of these guid...
    Richard N. Shiffman, George Michel, Michael Krauth...
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    AIR
    1999
    136views more  AIR 1999»
    A Framework for Collaborative, Content-Based and Demographic Filtering
    13 years 7 months ago
    A Framework for Collaborative, Content-Based and Demographic Filtering
    Download  www.ics.uci.edu
    We discuss learning a profile of user interests for recommending information sources such as Web pages or news articles. We describe the types of information available to determin...
    Michael J. Pazzani
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    DMS
    2010
    229views Multimedia» more  DMS 2010»
    Image Annotation System Using Visual and Textual Features
    13 years 6 months ago
    Image Annotation System Using Visual and Textual Features
    Download  www.mist.cs.ucla.edu
    We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...
    Swapnil Barai, Alfonso F. Cardenas
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