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    ECAI
    2006
    Springer
    193views Artificial Intelligence» more  ECAI 2006»
    A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation
    13 years 11 months ago
    A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation
    Download  hal.inria.fr
    Abstract. This paper describes a new way of implementing an intelligent web caching service, based on an analysis of usage. Since the cache size in software is limited, and the sea...
    Sylvain Castagnos, Anne Boyer
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    CHI
    2003
    ACM
    118views Human Computer Interaction» more  CHI 2003»
    Two worlds apart: bridging the gap between physical and virtual media for distributed design collaboration
    14 years 8 months ago
    Two worlds apart: bridging the gap between physical and virtual media for distributed design collaboration
    Download  digitalassets.lib.berkeley.edu
    A tension exists between designers' comfort with physical artifacts and the need for effective remote collaboration: physical objects live in one place. Previous research and...
    Katherine Everitt, Scott R. Klemmer, Robert Lee, J...
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    BXML
    2004
    110views Software Engineering» more  BXML 2004»
    Using semantic Web services for ad hoc collaboration in virtual teams
    13 years 9 months ago
    Using semantic Web services for ad hoc collaboration in virtual teams
    Download  www.srdc.metu.edu.tr
    : The system presented in this paper shows an alternative solution for the communication problem in virtual teams. Although it does not address the full bandwidth of tasks of an gr...
    Matthias Flügge, Kay-Uwe Schmidt
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    ICALT
    2008
    IEEE
    135views Machine Learning» more  ICALT 2008»
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    14 years 2 months ago
    Interaction Analysis as a Multi-Support Approach of Social Computing for Learning, in the "Collaborative Era": Lessons Learned b
    Download  ltee.org
    Apparently computer technology is shifting its focus, with individual users not being the main target any more. The evolution of Web 2.0 technologies is promoting the development ...
    Tharrenos Bratitsis, Angelique Dimitracopoulou
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    KDD
    2005
    ACM
    218views Data Mining» more  KDD 2005»
    A maximum entropy web recommendation system: combining collaborative and content features
    14 years 8 months ago
    A maximum entropy web recommendation system: combining collaborative and content features
    Download  maya.cs.depaul.edu
    Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
    Xin Jin, Yanzan Zhou, Bamshad Mobasher
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