Abstract:
In the music domain, repeated consumption is not uncommon. In this work, we explore how to recommend familiar music in fresh ways. Specifically, we design algorithms that can produce 'tours' through a small personal collection of songs. The tours are decorated with segues, which are textual connections between consecutive songs, chosen for their interestingness. We present three such algorithms, and we outline their strengths and weaknesses based on a comparative offline evaluation. This preliminary algorithmic work is a prelude to upcoming user-centric investigations.
