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The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender system and to formulate the problem of interactive recommendation as a contextual multi-armed bandit, learning user preferences recommending new songs and receiving ... Read more

This repository contains the implementation of a Music Recommendation System using the Spotify dataset from Kaggle. The system is built with Machine Learning techniques to suggest songs to users based on their listening history and preferences.

A Music Recommendation System Based on Sound Content

KKBox's Music Recommendation Challenge on Kaggle.

No description available from source.

Open Music Recommendation System (Open MRS)

MelodyMind offers personalized music recommendations, from a real-time Last.fm API-powered app to an advanced hybrid system combining content-based and collaborative filtering with LightFM.

During my undergrad, I implemented a music recommendation system based on music digital track analysis. However, it's time for me to use text mining technology on lyrics to upgrade that project. Goals: (1)build a music mood(happy or sad) classifier based on lyrics analysis (2)what w... Read more

This project is an AI-powered music recommendation system that suggests songs based on the user’s detected emotion.

A music recommendation system developed using collaborative filtering and content-based filtering techniques. This project showcases machine learning and recommendation algorithms.