Personalized Web services selection method based on collaborative filtering
HE Chunlin1,XIE Qi2,3
1. College of Computer Science, China West Normal University, Nanchong Sichuan 637002, China
2. College of Computer Science, Chongqing University, Chongqing 400043, China
3. School of Computer Science and Technology, Southwest University for Nationalities, Chengdu Sichuan 610041, China
Abstract：The traditional Web services selection algorithms were analyzed and the problems existing in dynamic environment were pointed out. A personalized Web services selection method based on collaborative filtering was proposed to address these problems. And a personalized Web service selection framework was designed, which used the collaborative filtering to predict the Quality of Service (QoS) and selected the best service that met users' requirements. About 1.5 million real world QoS data were employed to evaluate the proposal with other four methods and the experimental results demonstrate that the proposed method is a feasible manner and it provides better prediction results.
2013, Vol. 33 
