About project:

1. A simple movie recommender system implemented using python.
2. This recommender system uses two main approaches to make recommendations:
   • Content-based algorithm.
   • Collaborative filtering algorithm (User-based).

Features:

• 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.