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Spotify recommendation system that recommends new songs for your playlist

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.

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.

Yahoo Music Recommendation system based on several user ratings for albums and provide song recommendations to the users.

This project is a demonstration of a content-based recommendation system for Spotify that leverages user's preferences and audio features to generate personalized song recommendations.

音乐推荐系统https://blog.csdn.net/qq_30841655/article/details/107989560

The Emotion-Based Music Recommendation System provides real-time, personalized song suggestions by analyzing users' emotions, creating a unique and emotionally resonant music experience across various platforms with data privacy.

PlaylistPulse is a deep learning-based song recommendation system. Built with FastAPI for the backend and React with TypeScript for the frontend, it offers real-time, dynamic recommendations.