Movie Recommendation System Research Paper. This system will provide more precise results as compared to the existing systems. In this paper we are building a movie recommendation system with combination of two algorithms knn algorithm and collaborative filtering algorithm.
These recommendations are done using the analysis of the users' psychological profile, their watching history and the movies scores from other websites. (2011) a smart movie recommendation system. It is based on collaborative filtering approach that makes use of the information provided by users,
The research on recommender systems is started by grouplens research team from the university of minnesota. Recommendation machines can play a crucial role in particular whilst the person has no clean target movie. In this paper we are building a movie recommendation system with combination of two algorithms knn algorithm and collaborative filtering algorithm. These recommendations are done using the analysis of the users' psychological profile, their watching history and the movies scores from other websites.
