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has been cited by the following article:

• TITLE: A Personalized Cloud Services Recommendation Based on Cooperative Relationship between Services

  AUTHORS: Chengwen Zhang, Jiali Bian, Bo Cheng, Lingfei Li

  KEYWORDS: Personalized Recommendation; Cloud Service; Quality of Service; Similarity; Cooperative Relationship

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.12, December 5, 2013

  ABSTRACT: A personalized recommendation for cloud services, which is based on usage history and the cooperative relationship of cloud services, is presented. According to service groups, a service group could be defined as several services that were used together by one user at a time, and cooperative relationship between each two services can be calculated. In the process of recommendation, the services which are highly related to the service that the user has selected would be obtained firstly, the result should then take the QoS (Quality of Service) similarity between service’s QoS and user’s preference into account, so the final result combining the cooperative relationship and similarity will meet the functional needs of users and also meet the user’s personalized non-functional requirements. The simulation proves that the algorithm works effectively.