APPLYING SUPERVISED AND UN-SUPERVISED LEARNING APPROACHES FOR MOVIE RECOMMENDER SYSTEM

In this research paper we are trying to compare supervised and un-supervised machine learning approaches for comparing to identify the necessity of these techniques for developing a recommender system for movies. Also we are trying to adjust the training and testing samples to get the best accuracy for the recommender system.