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7

UM
2007
Springer

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Modeling Preferences in a Distributed Recommender System

13 years 10 months ago

Modeling Preferences in a Distributed Recommender System

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Abstract. A good way to help users ﬁnding relevant items on document 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.

Sylvain Castagnos, Anne Boyer

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Models Individual Preferences | Recommender System | UM 2007 | User-centered ﬁltering Algorithm |

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Added	09 Jun 2010
Updated	09 Jun 2010
Type	Conference
Year	2007
Where	UM
Authors	Sylvain Castagnos, Anne Boyer

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