Streaming algorithms analyze user behavior, listening history, preferences, and other data points to generate personalized recommendations. These algorithms utilize machine learning and AI techniques to suggest music tailored to individual tastes, helping users discover new artists, genres, and songs that they are likely to enjoy based on their past interactions with the platform.
