Naive Bayes Classifier based Movie Recommendation System

Abstract

In 21st Century almost every single piece of data is available over the internet. All we need is to surf through the internet. User sometimes spend more time in surfing the internet to get information about a movie. So the emphasis is to make every piece of data available in a single page which will help user to surf faster. Our approach is to build a website with customized search engine for Hollywood movies. Initially, the movie database gathers data from IMDB and Kaggle movie dataset. When the user enters the movie title in the webpage. TMDB API gathers the data from the TMDB website. This provides the user with the simplistic and user-friendly environment. It also provides the basic information about the movie, classification of the movie review based on classifier algorithm and generates a list of top 10 similar movies based on cosine-similarity measure and content-based filtering approach.