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Location-Aware and Personalized Collaborative Filtering for Web Service Recommendation : A Review
2016
International Journal of Computer Applications
As the number of web services with similar functionality increases,the service users usually depend on web recommendation systems.Now a days the service users pay more importance on non functional properties which are also known as Quality of Service(QoS) while finding and selecting appropriate web services.Collaborative filtering[3] approach predicts the QoS values of the web services effectively.Existing recommendation systems rarely consider the personalized influence of the users and
doi:10.5120/ijca2016908089
fatcat:jsexhlak7zgzfewidh25gdjoam