A Peer-to-Peer Recommender System with Privacy Constraints
Key: PKFS09-1
Author: Konstantin Pussep, Sebastian Kaune, Jonas Flick, Ralf Steinmetz
Date: March 2009
Kind: In proceedings
Publisher: IEEE Computer Society Press
Book title: Third International Workshop on P2P, Parallel, Grid and Internet Computing (3PGIC-2009)
Keywords: peer-to-peer, recommender system, privacy
Abstract: A recommender system can be used to suggest users po- tentially interesting content based on their previous con- sumption behavior. Such services already became common in centralized systems, such as Amazon, and approaches ex- ist for decentralized recommender systems. However, com- mon P2P recommender systems expose the user’s prefer- ences in the whole system. This is not desirable if privacy is required. Realization of a recommender system in a private P2P environment is not a trivial task, since we cannot gather the user data at central servers or just spread them in the com- munity. In this work we propose a private file sharing ap- plication based on social contacts. Instead of gathering all the information about users at one place the users exchange information only with their social contacts. We show how a personalized recommender system can be built in such an environment.
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