Web service evaluation method based on time-aware collaborative filtering

Abstract

Web service evaluation approaches predict the reliability of services running in the dynamic and unpredictable Internet environment, which helps the target users find the reliable services. Current approaches of evaluation based on the collaborative filtering lack the consideration of the time-aware effectiveness of the past data. To solve the problem, we proposed a web service evaluation approach based on the time-aware collaborative filtering, which computes the time-aware effectiveness of the past data and improves the process of the neighbor users finding. The real-world web service Qos dataset is conducted and the experimental results show that our approach achieves the lower prediction errors than other approaches. © 2013 Springer-Verlag.