Forecasting movie rating using k-nearest neighbor based collaborative filtering

<p><span lang="EN-US">Expressing reviews in the form of sentiments or ratings for item used movie seen is part human habit. These are easily available on different social websites. Based interest pattern a user, it important to recommend him items. Recommendation system playing vital role everyone’s life as demand recommendation user’s increasing day by day. Movie based has become interesting new users. Till today, lot many systems designed using several machine learning algorithms. Still, sparsity problems, cold start problem, scalability, grey sheep problem hurdles that must be resolved hybrid We proposed this paper, rating k-nearest neighbor (KNN-based) collaborative filtering (CF) approach. compared movies get top K Then we have set find missing user CF. Our when evaluated various criteria shows promising results recommendations with existing systems.</span></p>