Abstract
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.
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Huang, K., Liu, Y., Nepal, S., Fan, Y., Chen, S., Tan, W. (2014). A Novel Equitable Trustworthy Mechanism for Service Recommendation in the Evolving Service Ecosystem. In: Franch, X., Ghose, A.K., Lewis, G.A., Bhiri, S. (eds) Service-Oriented Computing. ICSOC 2014. Lecture Notes in Computer Science, vol 8831. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45391-9_43
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DOI: https://doi.org/10.1007/978-3-662-45391-9_43
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