Movie Recommendation using Collaborative filtering and Content-based Filtering Approach

Abstract

A recommendation system searches for content that would be Interesting to a specific person. Its goal is to build customer trust by offering content that is relevant which will increase the time spent of a digital platform. Additionally, this will also enhance user experience. The main objective of this strategy is to combine a content-based and collaborative approach. The proposed system can recommend a variety of movies to customers based on their interests or the box office performance of the movies. Collaborative filtering seeks to consider user opinions of various videos in order to suggest the best video to each user based on their past rankings and the views of other users, who share similar interests.