WSRCG: A Framework for Location_Aware Web Service Recommendation and Community Generation

Service computing plays an important role in business automation and now a days, there is a rapid increase in web services. Everyone is familiar with different kinds of web service recommendation systems and a number of commonly available web services are steadily increasing on the internet. However, Service users are not aware about availability of the different types of Web Services. Hence the recommendation system has to provide different quality of service. Existing approaches are mainly based on semantic similarity of the service interface and quality of service combined with collaborative filtering techniques. But most of them do not provide exact location-aware recommendation services, because user?s tastes are different. Also, it is impractical for users to acquire quality of service information by evaluating all service candidates by themselves. So this paper provides an effective, personalized and location aware recommendation service with improved prediction accuracy, reduced computational complexity compared to previous CF-based techniques.