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

Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl
2021 pre-print
We focus on music recommendation and conduct experiments on the recently released standardized LFM-2b dataset, containing listening profiles of Last.fm users.  ...  do not necessarily perform worse in terms of utility (NDCG), (3) the majority of the investigated recommenders intensify the popularity bias of the female users.  ...  In Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20,  ... 
doi:10.1145/3460231.3478843 arXiv:2108.06973v1 fatcat:4kw2s6yjgbbm5a7rffqbpsh46q

Schloss Dagstuhl - Jahresbericht / Annual Report 2017

Schloss Dagstuhl-Leibniz-Zentrum Für Informatik
2018
On behalf of all participants the organizers want to express their deep gratitude to the entire Dagstuhl staff for their outstanding support and service accompanying this seminar.  ...  The organizers of this workshop acknowledge research funding from the European Union's Horizon 2020 Research and Innovation programme under the Marie Skłodowska-Curie Grant Agreement No 691025.  ...  in Informatics The LIPIcs series 20 publishes proceedings of leading conferences in the area of informatics.  ... 
doi:10.4230/2199-1995.2017 fatcat:im34ekmmxnbrtlgjk3os6u53pq