Automatic Playlist Generation (APG) is an algorithmic means for grouping and ordering music. APG systems are an integral part of automatic music recommendation systems; they generate sequences of songs and aim to maximize the listening time of their subscribers. It is therefore important that adjacent songs preserve controlled novelty in APG systems.
This project investigated ways to encode expert knowledge of song transitions to generate playlists. in particular, we examine whether a model can predict the song sequences of produced music albums based upon transitions between songs. For more info see (Sarroff & Casey, 2012).
- Sarroff, A. M., & Casey, M. (2012). Modeling and predicting song adjacencies in commercial albums. In Proceedings of the 9th Sound and Music Computing Conference (p. 364—371). Link. Details