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The Evaluation of Service Trustworthiness Based on BP-Neural Network

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Trustworthy Computing and Services (ISCTCS 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 426))

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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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Authors and Affiliations

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

    Yue Li, Qingyang Gao & Jørgen Bøegh

  2. Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Beijing, China

    Yue Li & Jørgen Bøegh

Authors
  1. Yue Li
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  2. Qingyang Gao
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  3. Jørgen Bøegh
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Corresponding author

Correspondence to Yue Li .

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Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Yuyu Yuan

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Xu Wu

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Yueming Lu

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© 2014 Springer-Verlag Berlin Heidelberg

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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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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43907-4

  • Online ISBN: 978-3-662-43908-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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