Movie Recommendation System

In the digital age, movie recommendation systems have become essential for increasing user satisfaction and engagement. In this paper, we present the movie recommendation system based on collaborative filtering, content-based filtering, and a hybrid method to highly customize the suggested movies to the users. Using historical data, analyzing the use’s behaviors of watching preferences, and topics, desired to watch movies, the system recommends movies using advanced machine learning algorithms on what he/she is likely to be interested in.