Music recommendation refers to the process of suggesting songs or artists to listeners based on their preferences and listening habits. This can be achieved through algorithms that analyze user data, such as previously played tracks, liked songs, and overall listening patterns. Services like Spotify and Apple Music utilize these algorithms to create personalized playlists and recommendations. These recommendations can enhance the music discovery experience, helping users find new artists and genres they may enjoy. By considering factors like genre, tempo, and mood, music recommendation systems aim to provide a tailored listening experience that keeps users engaged and satisfied with their music choices.