STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Agent-based telematic services and telecom applications
Communications of the ACM
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Collaborative Filtering with Privacy
SP '02 Proceedings of the 2002 IEEE Symposium on Security and Privacy
Political artifacts and personal privacy: the yenta multiagent distributed matchmaking system
Political artifacts and personal privacy: the yenta multiagent distributed matchmaking system
Item-based top-N recommendation algorithms
ACM Transactions on Information Systems (TOIS)
PocketLens: Toward a personal recommender system
ACM Transactions on Information Systems (TOIS)
Impacts of user privacy preferences on personalized systems: a comparative study
Designing personalized user experiences in eCommerce
SVD-based collaborative filtering with privacy
Proceedings of the 2005 ACM symposium on Applied computing
Privacy-preserving demographic filtering
Proceedings of the 2006 ACM symposium on Applied computing
Flexible OS support and applications for trusted computing
HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Privacy-preserving indexing of documents on the network
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Platform for enterprise privacy practices: privacy-enabled management of customer data
PET'02 Proceedings of the 2nd international conference on Privacy enhancing technologies
Environments for multiagent systems state-of-the-art and research challenges
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
BerlinTainment: an agent-based context-aware entertainment planning system
IEEE Communications Magazine
Privacy-preserving content-based recommender system
Proceedings of the on Multimedia and security
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Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an essential requirement of the underlying Information Filtering architectures, because the deployed Recommender Systems have to be accepted by privacy-aware users as well as information and service providers. Existing approaches neglect to address privacy in this multilateral way. We have developed an approach for privacy-preserving Recommender Systems based on Multiagent System technology which enables applications to generate recommendations via various filtering techniques while preserving the privacy of all participants. We describe the main modules of our solution as well as an application we have implemented based on this approach.