Abstract
With the development of Internet, business models of offline service rendering and online service promotion and evaluation developed. But how to evaluate the service trustworthiness has not attracted great attention and much research. We build a Service Trustworthiness Evaluation Model based on outlier detection, user clustering and BP-Neural Network. In this paper, we use real data of trustworthy community to prove our assumption. Results of practical experiments show that the Service Trustworthiness Evaluation Model proposed in this paper can objectively reflect service trustworthiness. At the same time, it has significance for other evaluation systems.
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Acknowledgements
This paper is supported by The National Natural Science Foundation of China (Grant No. 91118002), and 863 Program (Grant No. 2011AA01A204).
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Li, Y., Gao, Q., Bøegh, J. (2014). The Evaluation of Service Trustworthiness Based on BP-Neural Network. In: Yuan, Y., Wu, X., Lu, Y. (eds) Trustworthy Computing and Services. ISCTCS 2013. Communications in Computer and Information Science, vol 426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43908-1_24
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DOI: https://doi.org/10.1007/978-3-662-43908-1_24
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