WSRec: A Collaborative Filtering Based Web Service Recommender System

As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In this paper, we present WSRec, a Web service recommender system, to attack this crucial problem. WSRec includes a user-contribution mechanism for Web service QoS information collection and an effective and novel hybrid collaborative filtering algorithm for Web service QoS value prediction. WSRec is implemented by Java language and deployed to the real-world environment. To study the prediction performance, A total of 21,197 public Web services are obtained from the Internet and a largescale real-world experiment is conducted, where more than

• Type: Journal
• Year: 2009
• Where: ICWS
• Authors: Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King
• Keywords: ICWS 2009, Internet Technology, Web Service Recommender, Web Service Selection, Web Services