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neteasy music recommend system based on Surprise libaray and word2vec model using gensim library

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基于协同过滤和SVD算法的音乐推荐系统

A music app that recommends songs based on user preferences using AI.

Music Recommendations with Collaborative Filtering and Cosine Distance

Aura is an emotion-aware music recommender that understands your mood from natural language input. It uses a fine-tuned BERT model trained on the GoEmotions dataset to detect your emotion. Based on the emotion, Aura suggests a song to comfort your mood or celebrate it through music.

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

基于Spark MLlib ALS的音乐推荐系统

A simple Music Recommender system built using Collaborative filtering and Spotify API. Built on top of MERN stack

音乐推荐