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In this paper, a trustable service selection model based on consumer reputation is proposed. Our model exploits evidence theory and extends deception detection of existing bodies of evidence to identify dishonest decision maker. The model defines the confidence intervals for bodies of evidence, and estimates the reputation of the Web service by collecting customer feedback via network referrals. It...
Analogous to the best buy information in physical merchandise, community-based reputation reflected QoS regarding specific service via feedback about customerspsila satisfaction degree. However, dishonest consumers are not responsible for their feedback information due to commercial benefits. In this paper,a trusted service selection model based on consumer reputation derived by community feedback...
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