User Location-aware Web Services QoS Prediction
With the rapid growth of the number of Web services in the Internet,QoS has played an increasingly important role in services selection.To obtain Web services QoS and recommend Web services to users effectively,an user location-based QoS predicting method,i.e.UL-WSRec,is proposed in this paper.Based on the fact that parameters of QoS usually depend on users′ locations,the method computes user′s similarity by considering the characteristic that users reside in the same autonomous system of Internet are similar in locality.By incorporating users′ locality information,the method adapts the traditional collaborative filtering algorithm so as to improve both efficiency and precision of Web services QoS prediction.Experiments conducted on real dataset of Web services validate the approach.