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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

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Front. Comput. Sci.    2015, Vol. 9 Issue (6) : 887-903    https://doi.org/10.1007/s11704-015-4532-0
RESEARCH ARTICLE
Recommend trustworthy services using interval numbers of four parameters via cloud model for potential users
Hua MA1,2,Zhigang HU1()
1. School of Software, Central South University, Changsha 410075, China
2. School of Information Science and Engineering, Hunan International Economics University, Changsha 410205, China
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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.
Keywords service recommendation      trustworthiness      interval numbers of four parameters      cloud model      potential users     
Just Accepted Date: 04 June 2015   Issue Date: 10 November 2015
 Cite this article:   
Hua MA,Zhigang HU. Recommend trustworthy services using interval numbers of four parameters via cloud model for potential users[J]. Front. Comput. Sci., 2015, 9(6): 887-903.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-015-4532-0
https://academic.hep.com.cn/fcs/EN/Y2015/V9/I6/887
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[1] Min GAO, Bin LING, Linda YANG, Junhao WEN, Qingyu XIONG, Shun LI. From similarity perspective: a robust collaborative filtering approach for service recommendations[J]. Front. Comput. Sci., 2019, 13(2): 231-246.
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