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    RECSYS
    2009
    ACM
    157views Control Systems» more  RECSYS 2009»
    Critiquing recommenders for public taste products
    13 years 9 months ago
    Critiquing recommenders for public taste products
    Download  hci.epfl.ch
    Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...
    Pearl Pu, Maoan Zhou, Sylvain Castagnos
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    RECSYS
    2009
    ACM
    157views Control Systems» more  RECSYS 2009»
    Increasing engagement through early recommender intervention
    13 years 11 months ago
    Increasing engagement through early recommender intervention
    Download  domino.research.ibm.com
    Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender techno...
    Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer
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    RECSYS
    2009
    ACM
    141views Control Systems» more  RECSYS 2009»
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    13 years 11 months ago
    Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
    Download  pages.stern.nyu.edu
    Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
    Akhmed Umyarov, Alexander Tuzhilin
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    RECSYS
    2009
    ACM
    194views Control Systems» more  RECSYS 2009»
    Learning to recommend with trust and distrust relationships
    13 years 11 months ago
    Learning to recommend with trust and distrust relationships
    Download  wiki.cse.cuhk.edu.hk
    With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
    Hao Ma, Michael R. Lyu, Irwin King
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    RECSYS
    2009
    ACM
    148views Control Systems» more  RECSYS 2009»
    Assessment of conversation co-mentions as a resource for software module recommendation
    13 years 11 months ago
    Assessment of conversation co-mentions as a resource for software module recommendation
    Download  mrzhou.cms.si.umich.edu
    Conversation double pivots recommend target items related to a source item, based on co-mentions of source and target items in online forums. We deployed several variants on the d...
    Daniel Xiaodan Zhou, Paul Resnick
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