Location-Aware and Personalized Collaborative Filtering for Web Service Recommendation

Location-Aware and Personalized
Collaborative Filtering for Web Service
Recommendation

Abstract— Location-Aware and Personalized
Collaborative Filtering for Web Service Recommendation. Collaborative Filtering (CF) is widely employed for making Web service recommendation. CF-based Web service recommendation aims to predict missing QoS < Final Year Projects 2016 > Quality-of-Service values of Web services. Although several CF-based Web service QoS prediction methods have been proposed in recent years, the performance still needs significant improvement.Firstly, existing QoS prediction methods seldom consider personalized influence of users and services when measuring the similarity between users and between services. Secondly, Web service QoS factors, such as response time and throughput, usually depends on the locations of Web services and users. However, existing Web service QoS prediction methods seldom took this observation into consideration. In this paper, we propose a location-aware personalized CF method for Web service recommendation.