面向用户均衡需求的Web服务资源智能推荐方法  

Method of intelligent recommendation of Web service resources towards users' balanced requirements

作　　者：刘平峰[1] 张慧[1] 章佩璐[1] 

机构地区：[1]武汉理工大学经济学院电子商务与智能服务研究中心,武汉430070

出　　处：《计算机应用研究》2012年第9期3224-3228,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(71072077;71172043);国家科技支撑计划资助项目(2011BAH16B02);国家教育部回国留学人员科研启动基金资助项目(2010-1561);武汉理工大学中央高校基本科研业务专项资金资助项目(2012-IB-060)

摘　　要：研究了满足用户在服务功能、服务属性和服务质量上的多层次均衡需求的Web服务资源智能推荐方法,解决了服务信息过载问题。现有服务推荐技术存在未考虑用户对服务多层次均衡需求的不足,结合Web服务资源的特点,综合考虑用户服务需求与候选服务群之间的多层次相似度,设计了综合Web服务资源的功能、属性和质量三个层次的适合度匹配算法,以及用户主观兴趣度匹配算法。通过这两个算法建立了面向用户均衡需求的个性化Web服务资源智能推荐方法,能将最大匹配度的Web服务资源推荐给目标用户。This paper proposed an approach of intelligent recommendation of Web service resources to users.This approach can satisfy users’ balanced multi-level requirements in service function,service attribute and service quality,as well as can solve the problem of service information overload.Present service recommendation techniques do not explore users’ balanced multi-level requirements in service.Taking into consideration the characteristics of Web service resources and exploring the multi-level similarity between user’s requirements in services and service resource candidates,this paper designed the algorithm of integrated fitness matching in function,attributes and quality of Web service resources,as well as algorithm of matching users’ subjective interests.Through the above work,this paper proposed a method of personalized intelligent recommendation of Web service resources oriented towards users’ balanced requirements.This method can ensure that the service resource with the maximum matching degree be recommended to the targeted user

关 键 词：WEB服务资源 智能推荐 功能属性 非功能属性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]