Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Computing and using reputations for internet ratings
Proceedings of the 3rd ACM conference on Electronic Commerce
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Agent-based trust model involving multiple qualities
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
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
Trust Management for Host-Based Collaborative Intrusion Detection
DSOM '08 Proceedings of the 19th IFIP/IEEE international workshop on Distributed Systems: Operations and Management: Managing Large-Scale Service Deployment
A calculus of trust and its application to PKI and identity management
Proceedings of the 8th Symposium on Identity and Trust on the Internet
Robust and scalable trust management for collaborative intrusion detection
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Securing rating aggregation systems using statistical detectors and trust
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Dishonest behaviors in online rating systems: cyber competition, attack models, and attack generator
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
Relating Reputation and Money in Online Markets
ACM Transactions on the Web (TWEB)
Trust Management and Admission Control for Host-Based Collaborative Intrusion Detection
Journal of Network and Systems Management
iCLUB: an integrated clustering-based approach to improve the robustness of reputation systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Quality and Leniency in Online Collaborative Rating Systems
ACM Transactions on the Web (TWEB)
Journal of Theoretical and Applied Electronic Commerce Research
Subjective review-based reputation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A Dempster-Shafer theory based witness trustworthiness model
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Proceedings of the 14th Annual International Conference on Electronic Commerce
Combining Trust Modeling And Mechanism Design For Promoting Honesty In E-Marketplaces
Computational Intelligence
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
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In electronic marketplaces populated by self-interested agents, buyer agents would benefit by modeling the reputation of seller agents, in order to make effective decisions about which agents to trust. One method for representing reputation is to ask other agents in the system (called advisor agents) to provide ratings of the seller agents. The problem of unfair ratings exists in almost every reputation system, including both unfairly high and unfairly low ratings. We begin by surveying some existing approaches to this problem, characterizing their capabilities and categorizing them in terms of two main dimensions: public-private and global-local. The impact of reputation system architectures on approach selection is also discussed. Based on the study, we propose a novel personalized approach for effectively handling unfair ratings in an enhanced centralized reputation system. Experimental results demonstrate that the approach effectively adjusts the trustworthiness of advisor agents according to the percentages of unfair ratings provided by them. We then argue for the merits of our model as the basis for designing social networks to share reputation ratings of sellers in electronic marketplaces.