User propensity analysis for Movie prediction rating based on Collaborative filtering and Fuzzy system

In the last few years a self-regulating active system is being worked on that develops recommendations for user before the user actually requests for it. Content based and Collaborative filtering techniques are used to provide intelligent individual recommendations. The prediction system proposed lays basis on the technique of recommendation system applying collaborative filtering, the problems of which are solved using fuzzy system. We used data of users rating about movie to predict and verify results. RMSE (Root Mean Square Error) of each movie is calculated from the system. On comparison of predicted RMSE with systems value we figure out the accuracy of the system. As applied by the results, the system can be used as base for many types of recommendation system and media.