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Movie Recommendation System Using Cosine Similarity and Naive Bayes
Author Name : Vaibhav shah, Praveen Kumar
ABSTRACT
The life of human being is full of stress and tension in this type of scenario entertainment is the best approach to be stress free and maintain your mental health. Entertainments boost your immunity as well as power of your work and enthusiast for your daily routine. Listening songs or by seeing movies we can get rid of stress and tension full life. over the past few decades technology is being evolved too much we does not need to seat and search the movies and then find the similar type of movie which we want, we cannot waste the time in this by seating for a long time just to find the similar type of movie . The approach of this paper is to come up with the solution by more improved movie recommendation system by using cosine similarity with Hybrid based filtering and the model is trained with Naive Bayes which leads to more accurate result.
Keywords - Movie Recommendation System , Cosine-Similarity , Naïve Bayes, Collaborative Based Filtering, Content Based Filtering , Hybrid Based Filtering.