A Novel QoS-Based Approach for Web Service Recommendation and Visualization

Web Services are becoming increasingly popular due to their subtle advantages. A Web Service is a standards-based software entity that accepts particularly formatted requirements from other software entities on remote machines via vendor. In service recommendation, the QoS-based approach is becoming more important. A lots of research has been studied on service recommendation but the performance of previous one is not suitable Existing approaches is unsuccessful to consider QoS discrepancy according to users locations, and existing recommender systems have provided only limited information on the performance of the service candidates. This paper proposes a novel collaborative filtering algorithm planned for large-scale web service recommendation. This approach provides work for the characteristics of QoS by clustering users into different regions. With the help of recommendation visualization technique, this system will present that how a recommendation is grouped with other choices.