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Erschienen in:
2014 | OriginalPaper | Buchkapitel
A Novel Equitable Trustworthy Mechanism for Service Recommendation in the Evolving Service Ecosystem
verfasst von : Keman Huang, Yi Liu, Surya Nepal, Yushun Fan, Shiping Chen, Wei Tan
Erschienen in: Service-Oriented Computing
Verlag: Springer Berlin Heidelberg
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Trustworthy service recommendation has become indispensable for the success of the service ecosystem. However, traditional trustworthy methods somehow overlook the service equality which result into a “rich-get-richer” effect and become a barrier for the novice services to startup and grow. This paper addresses this problem through a novel equitable trustworthy mechanism, which distinguished the difference between the novice and mature services over the trustworthy service recommendation. The results based on the real-world service ecosystem, i.e. ProgrammableWeb, show that our method achieves a better performance in equality guarantee and white-washing prevention. Thus it can promote the service ecosystem’s healthy growth in a fair manner.