Playlist generation is the process of creating a collection of songs that are grouped together based on specific criteria. This can include factors like genre, mood, tempo, or user preferences. Many music streaming services, such as Spotify and Apple Music, use algorithms to analyze listening habits and suggest playlists tailored to individual tastes. These playlists can be automatically generated or curated by users. Automated playlist generation often relies on machine learning techniques to identify patterns in music data, while user-curated playlists allow individuals to select their favorite tracks. Both methods aim to enhance the listening experience by providing personalized music recommendations.