Automatic music playlist generation based on music-programming of FM radios

Streaming music services are flooding their platforms with thousands of different playlists and this huge catalog is backfiring users who struggle to find the playlist that best suits their needs. In this paper, we aim to facilitate the music listening by designing a novel approach to automatically generate a playlist suited to the user's musical taste. Our approach is based on the FM radio music programming: starting from the user's favorite radio, we analyze seven days of music programming, we transform songs into vectors of audio features, we generate a music programming for a virtual day, and we transform this virtual day music programming into a real playlist when the user begins the music playout.