Investigating gender fairness of recommendation algorithms in the music domain AB Melchiorre, N Rekabsaz, E Parada-Cabaleiro, S Brandl, O Lesota, ... Information Processing & Management 58 (5), 102666, 2021 | 154 | 2021 |
Analyzing item popularity bias of music recommender systems: are different genders equally affected? O Lesota, A Melchiorre, N Rekabsaz, S Brandl, D Kowald, E Lex, ... Proceedings of the 15th ACM conference on recommender systems, 601-606, 2021 | 75 | 2021 |
LFM-2b: A dataset of enriched music listening events for recommender systems research and fairness analysis M Schedl, S Brandl, O Lesota, E Parada-Cabaleiro, D Penz, N Rekabsaz Proceedings of the 2022 Conference on Human Information Interaction and …, 2022 | 58 | 2022 |
Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization. O Lesota, S Brandl, M Wenzel, AB Melchiorre, E Lex, N Rekabsaz, ... MORS@ RecSys, 2022 | 17 | 2022 |
Song lyrics have become simpler and more repetitive over the last five decades E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ... Scientific Reports 14 (1), 5531, 2024 | 16 | 2024 |
Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms. O Lesota, E Parada-Cabaleiro, S Brandl, E Lex, N Rekabsaz, M Schedl ISMIR, 291-297, 2022 | 10 | 2022 |
Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition. M Mayerl, S Brandl, G Specht, M Schedl, E Zangerle ISMIR, 884-890, 2022 | 3 | 2022 |
LFM2b Lyrics Descriptor Analyses E Parada-Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ... | 1 | 2023 |
Mathematical optimization for vehicle trim in the high frequency range S Brandl, I Hauer, A Glettler, HH Priebsch, T Bartosch 4th Styrian Noise, Vibration & Harshness Congress, 161-172, 2006 | 1 | 2006 |
The Importance of Cognitive Biases in the Recommendation Ecosystem M Schedl, O Lesota, S Brandl, M Lotfi, GJE Ticona, S Masoudian arXiv preprint arXiv:2408.12492, 2024 | | 2024 |
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training G Escobedo, C Ganhör, S Brandl, M Augstein, M Schedl International Workshop on Algorithmic Bias in Search and Recommendation, 91-102, 2024 | | 2024 |
Author Correction: Song lyrics have become simpler and more repetitive over the last five decades E Parada‑Cabaleiro, M Mayerl, S Brandl, M Skowron, M Schedl, E Lex, ... Scientific Reports 14 (1), 11712, 2024 | | 2024 |
INTERACTIVELY EXPLORING SIMILARITIES BETWEEN MUSIC GENRES BASED ON USER-GENERATED TAGS S Brandl, M Schedl | | |