Movie Recommender System

What is Movie Recommender System ?

The Movie Recommender System is an AI-powered tool designed to help users discover movies based on their preferences. It leverages the TMDB dataset from Kaggle to provide personalized recommendations, ensuring a diverse and relevant selection of movies for every user.

Features

• Extensive Dataset: Built using the TMDB dataset from Kaggle, offering a wide range of movies for recommendations.
• Personalized Recommendations: Provides movie suggestions based on user preferences and viewing history.
• Diverse Suggestions: Includes a variety of genres, years, and ratings to cater to different tastes.
• Real-Time Updates: Regularly updated with new releases and trending movies.
• User-Friendly Interface: Easy-to-use design for seamless interaction and navigation.

How to use Movie Recommender System ?

1. Launch the System: Open the Movie Recommender System application or webpage.
2. Select Your Preferences: Choose your preferred genre, year, or rating to narrow down recommendations.
3. View Recommendations: The system will display a list of suggested movies based on your input.
4. Explore Details: Click on any movie to see detailed information, including plots, casts, and reviews.

Frequently Asked Questions

What dataset does the Movie Recommender System use?
The system uses the TMDB dataset from Kaggle, which is a comprehensive collection of movie data.

How does the system handle new movie releases?
The system is regularly updated with new releases, ensuring users always have access to the latest movies.

Can the system work without user viewing history?
Yes, the system can provide recommendations based on genre, year, or rating preferences even without viewing history.