Movie Recommendation System Using Python

In today’s world, people have a very busy life and schedule. So they like to do things which brings peace to their mind, and watching movies is one of them. But due to presence of such large information and datasets over the internet, it is very difficult for a user to select a corresponding movie based on their interest. This leads to user searching and selecting the movie which is a very difficult and time consuming process. To help users deal with this problem, recommendation systems were developed. Recommendation systems deal with the enormous amount of content present over the internet by filtering out the relevant information which makes it easy for user to choose a specific content. When recommendation system deals with movie content present over the web, it is known as Movie Recommendation System. In this paper, we talk about the different filtering techniques which are used in developing a movie recommendation system. Collaborative filtering, content based filtering, hybrid filtering are some of the major filtering techniques. Each technique provides different type of user interaction. Each have their own advantages and disadvantages.