Movie Recommender System Using Machine Learning Algorithms

Abstract

Abstract These days, a recommendation of a movie from a server-based system has made finding a piece of cinema easier. Film recommendation helps us to find films that we need to watch, instead of searching extensively online and help cinephiles and movie buffs by suggesting top tier films to watch without looking into huge databases which is very time consuming. As an approach to this dilemma, we Introduce a model based on collaborative and content-based approach which will use a variety of Python based Machine Learning algorithms from huge datasets and immensely produce a movie suggestion based on their taste and past watch history or genre. This compared to other recommendation systems is different and is based on a content-based approach.