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This project is a movie recommendation system built with Str
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A Movie Recommendation System is a personalized platform designed to suggest movies based on user preferences and viewing behavior. It leverages advanced algorithms to analyze user data such as genre preferences, ratings, and watch history to recommend similar movies. This system helps users discover new movies they are likely to enjoy, making it a convenient and time-saving solution for movie enthusiasts.
• Personalized Recommendations: Tailored suggestions based on user preferences and viewing history.
• Multi-Genre Support: Offers recommendations across various genres such as action, comedy, drama, and more.
• Ratings Integration: Allows users to rate movies, improving the accuracy of future recommendations.
• Watch History Analysis: Tracks movies you've watched to refine suggestions over time.
• Multiple User Profiles: Supports different profiles under one account for personalized recommendations for each user.
• Real-Time Updates: Keeps users informed about newly released movies matching their preferences.
• Transparency: Explains why specific movies are recommended, enhancing trust and user engagement.
What movies will the system recommend?
The system recommends movies based on your selected genres, ratings, and watch history to ensure personalized suggestions.
Can I add new movies to the system?
No, movie data is managed by the system. However, you can request new titles or provide feedback for future updates.
How can I improve the accuracy of recommendations?
Regularly rate movies and update your preferences to help the system better understand your tastes over time.