Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks
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Authors
Golbeck, Jennifer
Hendler, James A.
Issue Date
2004-01-01
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Abstract
While most research on the topic of trust on the semantic web has focused largely on digital signatures, certificates, and authentication, more social notions of trust which are reputation-based are starting to gain attention. In this paper, we describe an algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network. We present mathematical and experimental results that show the effectiveness of this algorithm to accurately infer the reputation of a node. We then describe TrustMail, an application that uses the network for rating email.