- A simple movie recommender system implemented using python.
- This recommender system uses two main approaches to make recommendations:
- Content-based algorithm.
- Collaborative filtering algorithm (User-based).
- The project is based on big datasets that has a large variety of movies and series.
- User gets recommendations according to his ratings and preferences, and can modify them as needed (Collaborative filtering).
- User can type a movie title and get recommendations that are most similar to his input (Content-based).
- Recommender system has a function that makes recommendations of top 15 movies of all time automatically.
- Recommender system gives accurate recommendations that satisfy user's need.