A Personalized Cloud Services Recommendation Based on Cooperative Relationship between Services

• 作者: Bo Cheng Chengwen Zhang Jiali Bian Lingfei Li
• 来源期刊: 软件工程与应用(英文)
• 学科: 工学
• 关键词: PERSONALIZED RECOMMENDATION CLOUD SERVICE Quality of SERVICE SIMILARITY COOPERATIVE Relationship
• 年，卷（期）: 2013,（12）
• 页码范围: 623-629
• 页数: 7页
• 分类号: TP3

摘要

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.