Oleg Lesota

Investigating gender fairness of recommendation algorithms in the music domain

Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada‐Cabaleiro et al. · Information Processing & Management · 2021 · 142 citations · Full text

Computing, Data Science, Data Mining +16

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

Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz et al. · 2021 · 66 citations · Full text

Computing, Information Systems, Data Mining +15

LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis

Markus Schedl, Stefan Brandl, Oleg Lesota et al. · 2022 · 51 citations

Computing, Computer Science, Data Science +13

Unlearning Protected User Attributes in Recommendations with Adversarial Training

Christian Ganhör, David Penz, Navid Rekabsaz et al. · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022 · 46 citations · Full text

Computing, Computer Science, Machine Learning +16

Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation

Alessandro B. Melchiorre, David Penz, Christian Ganhör et al. · International Journal of Multimedia Information Retrieval · 2023 · 32 citations · Full text

Computing, Computer Science, Information Retrieval +16