云服务流定制中的个性化资源推荐方法研究  

Research on Personalized Resource Recommendation Method in Service-flow Customization

作　　者：胡彬彬[1] 吴绍春[1] 

机构地区：[1]上海大学计算机工程与科学学院,上海200444

出　　处：《计算机技术与发展》2015年第3期108-113,117,共7页Computer Technology and Development

基　　金：国家"十二五"规划基金项目(201105033)

摘　　要：文中针对数字海洋云平台服务流可视化定制过程中出现的问题,着力解决用户如何快速从海量资源中选择符合需要的资源的难题,提出了服务流定制过程中的个性化用户资源推荐模型。该模型利用已定制过的服务流提取用户的行为习惯信息,融合用户与资源、资源与资源之间的关系,同时结合伙伴用户的思想,将在使用资源方面具有相似偏好的用户联系起来,得到极具个性化的用户资源推荐列表。与此同时,文中在用户资源推荐模型的基础上提出一种个性化资源推荐算法。实验结果表明,该算法极大地提高了用户定制服务流的效率。Aiming at the problem during customization process in the digital ocean cloud service flow visualization,in order to solve the difficulty how to quickly address users to select the resources conforms to the need from huge amounts of resources,put forward the personalized user resources recommended models in the process of service flow customization. The model uses the customized service-flow to extract the users behavior information and integrate the relationship betw een users and resource,resource and resource. Furthermore,it links users with the similar interesting in resources application to get the personalized resource recommendation list through the idea of company user. M eanw hile,based on the user-resource recommendation model,put forward a personalized resource recommendation algorithm. The experimental results show that the proposed algorithm greatly improves the efficiency of users service-flow customization.

关 键 词：云服务流定制 伙伴用户 个性化 资源推荐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]