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Our narrative literature review acknowledges that, although there is anincreasing interest in recommender system fairness in general, the music domainhas received relatively little attention in this regard. However, addressingfairness of music recommender systems (MRSs) is highly important because theperformance of these systems considerably impacts both the users of musicstreaming platforms and the artists providing music to those platforms. Thedistinct needs that these stakeholder groups may have, and the differentaspects of fairness that therefore should be considered, make for a challengingresearch field with ample opportunities for improvement. The review firstoutlines current literature on MRS fairness from the perspective of eachstakeholder and the stakeholders combined, and then identifies promisingdirections for future research.  The two open questions arising from the review are as follows: (i) In the MRSfield, only limited data is publicly available to conduct fairness research;most datasets either originate from the same source or are proprietary (and,thus, not widely accessible). How can we address this limited dataavailability? (ii) Overall, the review shows that the large majority of worksanalyze the current situation of MRS fairness, whereas only few works proposeapproaches to improve it. How can we move forward to a focus on improvingfairness aspects in these recommender systems?  At FAccTRec '22, we emphasize the specifics of addressing RS fairness in themusic domain.

A Stakeholder-Centered View on Fairness in Music Recommender Systems