Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Analyzing the economic efficiency of eBay-like online reputation reporting mechanisms
Proceedings of the 3rd ACM conference on Electronic Commerce
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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As reputation mechanism has been widely accepted and adopted to enhance trust in electronic communities, how to cope with the attack and disturbance problems on reputation mechanism, such as collusion, malicious or unfair rating, becomes a key challenge. This paper extends the normal mechanism, which mainly focuses on the trustworthiness of transactions, to a double-layer reputation mechanism, by distinguishing two type reputations: capability reputation and rating reputation. Based on the double-layer reputations, we present the Rating Reputation Feedback (RRF) mechanism to confront above problems. Basic concepts, key issues, instantiated sample and the effectiveness of RRF mechanism are discussed in the paper.