LOCATION-AWARE AND PERSONALIZED COLLABORATIVE FILTERING FOR WEB SERVICE RECOMMENDATION

Collaborative Filtering (CF) based Web service recommendation aims to predict missing QoS (Quality - of - Service) values of Web services. The proposed method leverages both locations of users and Web services while choosing similar neighbors for the target user or service . Collaborative Filtering (CF) is widely employed for making Web service recommendation. CF - based Web service aims to predict missing QoS (Quality - of - Service) values of Web services. Although several CF - based web service by using QoS prediction methods . However,the performance still needs development . Firstly,existing QoS prediction methods rarely consider s personalized influence of users and services when measuring doing the comparison between users and between services. Secondly,Web service QoS factors,such as throughput and response time,usually depends on the locations of Web services and users.

https://www.ijiert.org/paper-details?paper_id=140840