Modeling Preferences in a Distributed Recommender System

Sylvain Castagnos (1) , Anne Boyer (1)

1 MAIA - Autonomous intelligent machine

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.

Mots clés: User-Centered Recommender System; Privacy

Domaines: Intelligence artificielle [cs.AI]

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⟩