个性化是Web服务发展的重要发展方向,而实现个性化的首要任务就是发现用户的兴趣知识。本文提出了从用户请求、服务注册信息、服务组合序列中获得三种个性化向量的方法,并建立个性知识库。三种向量分别作用于服务匹配、服务推荐以及服务组合推荐,为Web服务的个性化提供了模型和发展方向。
Personalization is an important development orientation of Web services and the primary task of personalization is to find the use's interest knowledge. This paper presents the method of obtaining three kinds of vectors respectively from the user requests, service registration information, services composition and modeling personalized knowledge database. These vectors play the respective role in service matchmaking, services recommendation and service composition recommendation. They provide the model and development direction for personalized Web services.