How Spotify Uses ML to Create the Future of Personalization

This post introduces the application of reinforcement learning (RL) to Spotify's personalization systems. It details how RL models are used to predict and maximize long-term user satisfaction by guiding users towards a diverse and fulfilling content diet, rather than just short-term gratification. The system simulates various scenarios to train the RL model, aiming to create a more holistic audio experience that benefits both users and artists by increasing content discovery and engagement.