Choosing appropriate songs that satisfy one’s needs is often frustrating, tiresome and ineffective due to the increasing number of music collections and their sizes. Successive songs in playlists should fit the situation, our mood or at least have common features. Consequently, there is a need to develop solutions that would enrich our experience of listening to music. In this paper, musical similarity has been studied at the cultural level in the playlist generation process. Also, an author’s program designed for testing different playlists will be described. It is used to perform an experiment examining quality of playlists created using a cultural similarity model.
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