Hybrid Movie Recommender System

Abstract

The need for Recommendation Systems is increasing day by day as companies using recommender systems focus on increasing sales as a result of very personalized offers and an enhanced customer experience. Recommendations typically speed up searches make it easier for users to access the content they’re interested and surprise them with offers they would have never searched for. This paper demonstrates the usage of machine learning algorithms in the movie recommender system. In this paper, we have introduced two types of filtering, content-based and collaborative-based filtering. Furthermore, we have given the analysis of the hybrid model.