Hybrid Movie Recommendation System

Now days, users get so many recommendation websites for movies which suggest/recommends them best movies as per their interest. All these websites have implemented one of the traditional content, context and collaborative recommendations algorithms [3]. Alone, these algorithms are not able to recommend efficient and best recommendations to user. So, there is a need to evolve a new and unique algorithm which combines the features of traditional algorithm along with its new features. This paper describes the new recommendation system, which is a movie recommendation system, based on a unique Hybrid recommendation algorithm, which satisfies a user by providing best and efficient recommendations of movies. Comparative case study of traditional recommendation algorithms to Hybrid movie recommendation algorithm has also been studied and presented in this paper. This case study is based on evaluating criteria of recommendation algorithm i.e. precision, accuracy, recall, F-measure etc. Results of this case study are shown in the form of graphs and tables to clearly specify the need of proposed Hybrid movie recommendation system.