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Content Based Music Recommendation Service

A Music Player with a Clustering based Recommendation Engine utilizing Spotify API

Local AI Music Discovery for Lidarr - Brainarr is a privacy-focused AI-powered import list plugin for Lidarr that generates intelligent music recommendations using local AI models. It exclusively supports local providers (Ollama, LM Studio) to ensure your music preferences never leave your network.

A music recommendation system

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.

#nowplaying-RS: Music Recommendation using Factorization Machines

An implementation of "Deep Content-User Embedding Model for Music Recommendation" in Keras