Web Service Recommendation Using Hybrid Approach

Web Services (WS) are application components which help in integrating various Web based applications. WS are used by almost all web applications. With the help of WS, web applications can provide service on the internet without any restrictions to the operating system or programming language. Today the number of WS on the internet is rising and it is difficult for the user to select a well suited service among a large number of services. In order to overcome this, this study proposes a hybrid filtering based web services recommendation system. In this we used demographic based recommendation system with collaborative based filtering approach. In this data mining is performed on user history and text mining is performed on comments. By combining the results we recommend web services to user. Keywords— Web service recommendation, Content based filtering, Collaborative filtering, Demographic based recommendation, Hybrid filtering, Improved k-means.