We have developed EM-trust, a robust algorithm for evaluating reputations in peer-to-peer marketplaces. EM-trust is robust in the sense that it is far less susceptible than are previous algorithms to errors due to inaccurate feedback. Moreover, a Bayesian version of EM-trust seems ideally suited to real peer-to-peer marketplaces, in which participants are unlikely to have had previous interactions. The properties of both EM-trust variants as well as eBay's "percent positive feedback" algorithm have been evaluated in a marketplace simulator designed to model a real peer-to-peer marketplace.
EM-trust: a Robust Reputation Algorithm for Peer-to-peer Marketplaces
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