基于社区的Web服务推荐

With the development of Web service technology, more and more Web services are taken into practice in online communities. In order to better meet customers' requirements, a solution for recommending the optimal service to community users is proposed. First of all, a quantitative measurement for the quality of service, also as QoS, is given. And then extract services descripion from the WSDL document, calculate community and service keywords similarity. And by the final weighted combination of the two push to the service recommending standard. According to that standard the most appropriate service will be recommended to the appropriate users of community.Also the addition of a feedback mechanism is needed to modify the corresponding value price based on the users' assessment of service, which makes the recommended services can better meet the needs of the community users.