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- W2783100886 abstract "In service-oriented computing environments, a novel challenge is to update the reputation of each composed component service. Recently, reputation propagation has become an emerging solution and received much attention in research area. Existing approaches for reputation propagation cannot capture the complex service composition structures, or cannot fairly distribute the users' subjective evaluation values. In this paper, we propose an reputation propagation approach to fairly distribute the overall subjective ratings to each components in the composition. Our approach first utilizes Beta reputation models to record the ratings of service components. Then, it computes the contribution of each component using Shapley value in corporative gaming theory, and improves the efficiency of Shapley value computation by bit vector encoding. Finally, we theoretically and experimentally validate our approach through simulated studies. The results show that our approach can hierarchically propagate the consumers' rating to each component, and can ensure fairness that no component in the composite service will receive extra rewards or punishments." @default.
- W2783100886 created "2018-01-26" @default.
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- W2783100886 date "2017-10-01" @default.
- W2783100886 modified "2023-09-22" @default.
- W2783100886 title "Reputation Propagation for Web Service Composition: A Shapley Value Approach" @default.
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- W2783100886 doi "https://doi.org/10.1109/nana.2017.52" @default.
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