Welcome to the Movie Recommendation System project! This system is designed to provide personalized movie recommendations based on user preferences using machine learning techniques.
This project aims to enhance user experiences in discovering movies by leveraging advanced algorithms to analyze user preferences and suggest relevant movie recommendations. The system utilizes collaborative filtering techniques, integrating user ratings and movie metadata to generate accurate predictions.
- Personalized Recommendations: The system provides personalized movie recommendations tailored to individual tastes.
- Similar Movie Recommendations: Users can input their favorite movie name, and the system recommends up to 30 similar movies.
- Scalable Architecture: The system is built with scalability in mind, capable of handling large datasets efficiently.