Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?

no code implementations • 16 Aug 2021 • Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl

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).

Collaborative Filtering Music Recommendation +1