Cloud Service Supplier Recommendation based on User Personalized Preference

doi:10.3969/j.issn.1007-7375.2019.02.001

Abstract

Abstract: At present, it is difficult for users without professional knowledge to choose a cloud service provider that meets their preference. To solve this problem, a cloud service provider recommendation model based on users' preferences is proposed. The model is composed of three parts. The first part is to determine and measure the user's preferences for cloud services from the perspective of user through the fuzzy evaluation. The second one is to identify and measure suppliers' capacity to meet the user's needs from the perspective of cloud service providers through the fuzzy evaluation and entropy weight method. The third is to measure the similarity of user and candidate suppliers using the similarity distance formula, and provide recommendation to the user. Experimental results show that, compared with the traditional recommendation, the proposed model can recommend cloud service providers that meet the needs of users according to their evaluation of various cloud service indicators, improving the accuracy in the process of choosing cloud service providers.

Key words: cloud service, cloud service provider, user preferences, personalized recommendation

CLC Number:

TP181

YU Chunxia, LIU Yuru, GAO Xu. Cloud Service Supplier Recommendation based on User Personalized Preference[J]. Industrial Engineering Journal , 2019, 22(2): 1-9.

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