Movie recommender website that will help and will save time of users by suggesting movies that they might like according to their search criteria and past rating history.
Dataset: TMDB Movie Dataset
Description: The dataset comprise of 26 million rating by 2,70,000 users of 45,000 movies. It also includes language, budget, genres, popularity, revenue etc.
- Provide movie suggestions according user’s input.
- Provide movie suggestions by their past history.
Objective: People often spend time wasting in the search of movies that they want to watch due to availability of too much options. Movie Recommendation System will help users to find movies accordingly user’s search keywords and similar movies which they liked before. This application will save user’s time and efforts in searching process.