Author/Authors :
aruna, s. mepco schlenk engineering college - department of cse, Sivakasi, India , abinaya, p. mepco schlenk engineering college - department of cse, Sivakasi, india
Abstract :
Service recommendation systems are an effective method for predicting user preference for services. Of late collaborative filtering based methods are popularly used for service recommendation. A similarity computation based on QoS is used, where attribute values between users or items is compared. The service recommendation system is also improvised by utilizing the QoS attributes and response time to predict the unknown value.
