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  • Computing Social Networks for Information Sharing: A Case-Based Approach, SpringerLink - Book Chapter
    Tags: 4Milos SocialNetworks Community InformationSharing
    • Clipping
      • Rushed Kanawati1 Contact Information and Maria Malek2(1) LIPN – CNRS UMR 7030, 99 Av. J.B. Batiste F-93430 Villetaneuse, (2) LAPI – EISTI, 11 Av. du Parc F-95011 Cergy, Email:maria.malek@eisti, AbstractIn this paper we describe a peer-to-peer approach that ails at allowing a group of like-minded people to share relevant documents in an implicit way. We suppose that user save their documents in a local user-defined hierarchy. the association between documents and hierarchy nodes (or folders) is used by a supervised hybrid neural-CBR classifier in order to learn the user classification strategy. This strategy is then used to compute correlations between local folders and remote ones allowing to recommend documents without having a shared hierarchy. Another CBR system is used to memorize how good queries are answered by peer agents allowing to learn a dynamic community of peer agents to be associated with each local folder.Keywords Collaborative Document Sharing - Peer To Peer - Case-based reasoning - Community identification
    • Posted on 2007-11-17 22:21:44, by milorad

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