International Journal of Computer Applications
Web services are the components usually called as integrated software components which support the interoperable machine-to-machine interaction over any network. In today's world, the availability of web services is increasing actively. A recommender system is presented that helps the users to select services with good Quality-of-Service (QoS) performance. This recommender system extracts the information from two parameters called location and QoS values. The basic idea is to predict Web service QoS values and recommend the best one for users based on historical Web service QoS records. Firstly, locations are clustered using Euclidean distance and then the similarity of users of that particular location is calculated.