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Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services. (arXiv:2208.09517v1 [cs.IR])
Aug. 23, 2022, 1:10 a.m. | Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang
cs.LG updates on arXiv.org arxiv.org
Popularity bias is the idea that a recommender system will unduly favor
popular artists when recommending artists to users. As such, they may
contribute to a winner-take-all marketplace in which a small number of artists
receive nearly all of the attention, while similarly meritorious artists are
unlikely to be discovered. In this paper, we attempt to measure popularity bias
in three state-of-art recommender system models (e.g., SLIM, Multi-VAE, WRMF)
and on three commercial music streaming services (Spotify, Amazon Music,
YouTube). …
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