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Recommend trustworthy services using interval numbers of four parameters via cloud model for potential users

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Abstract

How to discover the trustworthy services is a challenge for potential users because of the deficiency of usage experiences and the information overload of QoE (quality of experience) evaluations from consumers. Aiming to the limitations of traditional interval numbers in measuring the trustworthiness of service, this paper proposed a novel service recommendation approach using the interval numbers of four parameters (INF) for potential users. In this approach, a trustworthiness cloud model was established to identify the eigenvalue of INF via backward cloud generator, and a new formula of INF possibility degree based on geometrical analysis was presented to ensure the high calculation precision. In order to select the highly valuable QoE evaluations, the similarity of client-side feature between potential user and consumers was calculated, and the multi-attributes trustworthiness values were aggregated into INF by the fuzzy analytic hierarchy process method. On the basis of ranking INF, the sort values of trustworthiness of candidate services were obtained, and the trustworthy services were chosen to recommend to potential user. The experiments based on a realworld dataset showed that it can improve the recommendation accuracy of trustworthy services compared to other approaches, which contributes to solving cold start and information overload problem in service recommendation.

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Author information

Authors and Affiliations

  1. School of Software, Central South University, Changsha, 410075, China

    Hua Ma

  2. School of Information Science and Engineering, Hunan International Economics University, Changsha, 410205, China

    Zhigang Hu

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  1. Hua Ma
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  2. Zhigang Hu
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Correspondence to Zhigang Hu.

Additional information

Hua Ma received his BS in computer science and technology and his MS in computer application technology from Central South University (CSU), China in 2003 and 2006, respectively. He is currently a PhD candidate from CSU and an associate professor in Hunan International Economics University, China. His research interests focus on cloud computing, trusted computing and high performance computing.

Zhigang Hu received his BS and his MS from Central South University (CSU), China in 1985 and in 1988, and his PhD from Central South University in 2002. He is currently a professor and PhD supervisor of CSU. His research interests focus on the parallel computing, cloud computing, and high performance computing.

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Ma, H., Hu, Z. Recommend trustworthy services using interval numbers of four parameters via cloud model for potential users. Front. Comput. Sci. 9, 887–903 (2015). https://doi.org/10.1007/s11704-015-4532-0

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