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| title: Music Recommendation System | |
| emoji: 🎵 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.8.0 | |
| app_file: app.py | |
| pinned: false | |
| # Music Recommendation System | |
| A music recommendation system built using matrix factorization and deployed on Hugging Face Spaces. | |
| ## Overview | |
| This application provides music recommendations based on user-selected songs. It uses truncated SVD for matrix factorization to generate recommendations. | |
| ## How to Use | |
| 1. Select up to 5 songs you like from the dropdown menu | |
| 2. Click "Get Recommendations" to see similar songs | |
| 3. Each recommendation comes with a confidence score | |
| ## Technical Details | |
| - Built using Python, Gradio, and scikit-learn | |
| - Uses TruncatedSVD for matrix factorization | |
| - Deployed on Hugging Face Spaces | |
| - Optimized with sparse matrices | |
| - Uses Gradio 4.19.2 SDK | |
| ## Performance Notes | |
| - Initial loading takes ~90 seconds for model training | |
| - Subsequent recommendations are near-instantaneous | |
| - Optimized for both CPU and memory usage |