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2009 Fourth International Conference on Internet and Web Applications and Services
A P2P Collaborative Bibliography Recommender System
Venice/Mestre, Italy
May 24-May 28
ISBN: 978-0-7695-3613-2
In this paper, we present {\sc Cobras}: a CBR-based Peer-to-Peer bibliographical reference recommender system. The system allows a group of like-minded people to share their bibliographical data in an implicit and intelligent way. The system associates a software agent with each user. Agents are attributed three main skills: a) detecting the associated user hot topics, b) selecting a subset of peer agents that are likely to provide relevant recommendations and c) recommending both documents and other agents in response to a recommendation request sent by a peer agent. The last two skills are handled by two inter-related data-driven case-based reasoning sub-systems. This paper focuses on the design and the implementation of these two sub-systems. An experimental study involving one hundred software agents using real bibliographical data is described. Obtained results assess the validity of the proposed approach.
Index Terms:
Recommender systems, P2P, Case-based reasoning
Rushed Kanawati, Hager Karoui, "A P2P Collaborative Bibliography Recommender System," iciw, pp.90-96, 2009 Fourth International Conference on Internet and Web Applications and Services, 2009
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