metadata

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

Select up to 5 songs you like from the dropdown menu
Click "Get Recommendations" to see similar songs
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