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Modeling Preferences in a Distributed Recommender System

Sylvain Castagnos 1 Anne Boyer 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A good way to help users finding relevant items on docu- ment platforms consists in suggesting content in accordance with their preferences. When implementing such a recommender system, the number of potential users and the confidential nature of some data should be taken into account. This paper introduces a new P2P recommender system which models individual preferences and exploits them through a user-centered filtering algorithm. The latter has been designed to deal with problems of scalability, reactivity, and privacy.
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Sylvain Castagnos, Anne Boyer. Modeling Preferences in a Distributed Recommender System. 11th International Conference on User Modeling - UM 2007, National Center for Scientific Research "Demokritos", Ionian University, and User Modeling Inc., Jun 2007, Corfu, Greece. pp.400-404, ⟨10.1007/978-3-540-73078-1_53⟩. ⟨inria-00171802⟩

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