Playlist Generation

Automatic music playlist generation aims to create personalized music selections tailored to individual preferences, improving user experience on music streaming services. Recent research focuses on leveraging various machine learning approaches, including reinforcement learning algorithms (like Deep Q-Networks) to directly optimize for user satisfaction, and transformer models to capture complex relationships between tracks and user listening habits. These advancements are improving music discovery and personalization, impacting both the user experience and the development of more effective recommendation systems within the music industry.