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Found 2 papers, 1 papers with code
Explainability in Music Recommender Systems
In this article, we discuss how explainability can be addressed in the context of MRSs.
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Explainable artificial intelligence
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Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
In this work, in contrast, we propose to investigate popularity differences (between the user profile and recommendation list) in terms of median, a variety of statistical moments, as well as similarity measures that consider the entire popularity distributions (Kullback-Leibler divergence and Kendall's tau rank-order correlation).
