Abstract: - Recommendationsystems are utilized to make suggestions about information, data, items, orservices, products for users. In this paper, we propose a hybrid recommendationsystem for movie recommendations based on user choice, interaction, interest,behavior, and preferences. To start with, we characterize theuser-recommendation behavior and interaction. The recommendation frameworkacknowledges user demands, request, and prescribes N things to the user, andrecords user interest, choice, decision, and inclination. In the event that aportion of these things favor the user, he will choose one to peruse and keepon utilizing the recommendation framework, until none of the suggested thingsfavors him.
Keywords: - User Preference, Movie Recommendation, User Behavior,Content Based Filtering Recommendation, Collaborative Filtering Recommendation,User Based Recommendation, Item Based Recommendation, Target User, SimilarUsers.