Welcome to the Movies Recommendation System project! This project focuses on building a recommendation engine that suggests movies to users based on their preferences and viewing history. By utilizing collaborative filtering and machine learning techniques, the system aims to enhance users' movie-watching experience.
- Highest Rated Movies
- Most Reviewed Movies
- Suggest Similar Movies From Given Movie
The recommendation system is trained on a dataset(includes 10300+ movies and 105300+ ratings) containing movieId, genres, ratings, title, userId, timestamp etc.