Spotify leverages machine learning for song recommendations
Collaborative filtering analyzes using behavior to suggest similar songs
Natural Language Processing (NLP) Interepts song lyrics and metadata.
Audio analysis techniques detect musical patterns and genres
Personalized playlists are created on user preferences and history
Deep learning models improve recommendation accuracy over time
User feedback and ratings refine the machine learning algorithms
Spotify's machine learning algorithms, collaborative filtering, NLP, audio analysis, and user feedback combine to deliver personalize song recommendations and curated playlists