Communications of the ACM
Web-Based Reputation Management Systems: Problems and Suggested Solutions
Electronic Commerce Research
The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Trust Metrics, Models and Protocols for Electronic Commerce Transactions
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
A System for Ensuring Data Integrity in Grid Environments
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Trusted P2P Transactions with Fuzzy Reputation Aggregation
IEEE Internet Computing
A survey of trust and reputation systems for online service provision
Decision Support Systems
PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing
IEEE Transactions on Parallel and Distributed Systems
Reputation ontology for reputation systems
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
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Today's online reputation systems lack one important feature: globality. Users build a reputation within one community, and sometimes several reputations within several communities, but each reputation is only valid within the corresponding community. Moreover, such reputation is usually aggregated by the online platform's provider, giving the inquiring agent no say in the process. This paper proposes one way of dealing with this problem. We introduce an online reputation centralizer that collects raw reputation data about users from several online communities and allows for it to be aggregated according to the inquiring agent's requirements, using a stochastic trust model, and taking into account factors that qualify a user's reputation.