Algorithmic playlists are curated music collections generated by computer algorithms. These algorithms analyze various factors, such as listening history, song characteristics, and user preferences, to create personalized playlists. Services like Spotify and Apple Music use these algorithms to suggest songs that users are likely to enjoy based on their past behavior. The goal of algorithmic playlists is to enhance the listening experience by introducing users to new music that aligns with their tastes. By continuously learning from user interactions, these algorithms adapt over time, ensuring that the playlists remain fresh and relevant to each individual listener.