Play it again, Sam! Recommending familiar music in fresh ways

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Date
2021-09-13
Authors
Gabbolini, Giovanni
Bridge, Derek G.
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Publisher
Association for Computing Machinery (ACM)
Published Version
10.1145/3460231.3478866
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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.
Description
Keywords
Recommender systems , Repeated consumption , Segues
Citation
Gabbolini, G. and Bridge, D. (2021) 'Play it again, Sam! Recommending familiar music in fresh ways', RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, Netherlands, 27 September - 1 October, pp. 697-701. doi: 10.1145/3460231.3478866
URI
http://hdl.handle.net/10468/12318
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Insight Centre for Data Analytics - Conference Items
Computer Science - Conference Items
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© 2021, the Authors. Published by the Association for Computing Machinery (ACM).