GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Communications of the ACM
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Collaboration of untrusting peers with changing interests
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Utility-based neighbourhood formation for efficient and robust collaborative filtering
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Adaptive Collaboration in Peer-to-Peer Systems
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
Improved recommendation systems
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Tell me who I am: an interactive recommendation system
Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
Asynchronous recommendation systems
Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing
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The Internet has brought about the notion of peer-to-peer computing, whose reliance on a central authority (let alone a central server) is minimal. It seems fair to say that one of the Great Promises of the Internet is that such unmoderated direct interaction between users will reduce much of the traditional overhead due to the "man in middle" taking his share: either financially (in the context of e-commerce) or conceptually (in the context of opinion shaping, say). The flip side of this prospect, of course, is the danger that the system will deteriorate into a lawless jungle: some users in a peer-to-peer system, possibly coordinated, might exploit honest users to their advantage, since it appears that there is no effective way to enforce rules in this game.