World Wide Web Journal - Special issue: Web security: a matter of trust
Communications of the ACM
A Social Mechanism of Reputation Management in Electronic Communities
CIA '00 Proceedings of the 4th International Workshop on Cooperative Information Agents IV, The Future of Information Agents in Cyberspace
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Trust and Reputation Management in a Small-World Network
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
Challenges for trust, fraud and deception research in multi-agent systems
AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
A probabilistic trust model for handling inaccurate reputation sources
iTrust'05 Proceedings of the Third international conference on Trust Management
Towards a decision model based on trust and security risk management
AISC '09 Proceedings of the Seventh Australasian Conference on Information Security - Volume 98
Privacy-enhanced reputation-feedback methods to reduce feedback extortion in online auctions
Proceedings of the first ACM conference on Data and application security and privacy
Proceedings of the 8th ACM SIGSAC symposium on Information, computer and communications security
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We have developed a suite of algorithms to address two problems confronting reputation systems for large peer-to-peer markets: data sparseness and inaccurate feedback. To mitigate the effect of inaccurate feedback – particularly retaliatory negative feedback – we propose EM-trust, which uses a latent variable statistical model of the feedback process. To handle sparse data, we propose Bayesian versions of both EM-trust and the well-known Percent Positive Feedback system. Using a marketplace simulator, we demonstrate that these algorithms provide more accurate reputations than standard Percent Positive Feedback.