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LoQoS location and QoS sensitive web service recommender

Web Services (WS) are application components that help to integrate various Web based applications. WS are used by almost all web applications. With the help of WS, web applications can use any service hosted on the internet without any platform dependency. Today the number of WS on the World Wide Web is rising and it is difficult for the user to select a optimal service among a large number of services. In order to overcome this, based on a recently published research work in the literature, we develop a location-aware QoS based web services recommendation system. The recommendation system obtains the QoS information from the users and the location information of the user which provides personalized results to the users. The recommendation system implements this concept by using collaborative filtering (CF) technique and recommends potential favorite Web Services for a user.