AI is fundamental in music recommendation algorithms that personalize playlists and discoverability for users on platforms like Spotify, Apple Music, and YouTube Music. The recommendation process relies on:
Collaborative Filtering: This method analyzes user interactions (listens, likes, skips) to suggest songs based on similarities in user behavior.
Content-Based Filtering: AI analyzes the acoustic features of songs (tempo, key, energy, mood) and recommends music with similar sonic characteristics.
Hybrid Models: Most modern streaming services use a combination of collaborative and content-based filtering to improve accuracy.
Reinforcement Learning (RL): Some AI models use reinforcement learning to continuously adapt recommendations based on user feedback.
