Abstract:

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 CWSR for recommending the optimal service to community users is proposed.First of all,the paper gives a quantitative measurement for the Quality of Service (QoS),extracts services description from the WSDL document and calculates community and service keywords similarity.Finally,a web service recommendation model is proposed by combining the QoS and similarity with the history results.According to that model,the most appropriate service will be recommended to the appropriate users of community.Experiments show that our method makes the recommended services can better meet the needs of the community users.

Key words: Web service;community;QoS;similarity;service recommendation