| 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 | 107 | 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 | 52 | 2021 |
| Evaluating three corpus-based semantic similarity systems for Russian P AI, L OO Dialog 28, 2015 | 36 | 2015 |
| Tripclick: the log files of a large health web search engine N Rekabsaz, O Lesota, M Schedl, J Brassey, C Eickhoff Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 35 | 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 | 34 | 2022 |
| Grep-biasir: A dataset for investigating gender representation bias in information retrieval results K Krieg, E Parada-Cabaleiro, G Medicus, O Lesota, M Schedl, ... Proceedings of the 2023 Conference on Human Information Interaction and …, 2023 | 28 | 2023 |
| Not all relevance scores are equal: Efficient uncertainty and calibration modeling for deep retrieval models D Cohen, B Mitra, O Lesota, N Rekabsaz, C Eickhoff Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 25 | 2021 |
| Unlearning protected user attributes in recommendations with adversarial training C Ganhör, D Penz, N Rekabsaz, O Lesota, M Schedl Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 20 | 2022 |
| A modern perspective on query likelihood with deep generative retrieval models O Lesota, N Rekabsaz, D Cohen, KA Grasserbauer, C Eickhoff, M Schedl Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 16 | 2021 |
| Parameter-efficient modularised bias mitigation via AdapterFusion D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ... arXiv preprint arXiv:2302.06321, 2023 | 13 | 2023 |
| Mitigating consumer biases in recommendations with adversarial training C Ganhör, D Penz, N Rekabsaz, O Lesota, M Schedl Proceedings of the 45th International ACM SIGIR conference on research and …, 2022 | 7 | 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 | 5 | 2022 |
| Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation AB Melchiorre, D Penz, C Ganhör, O Lesota, V Fragoso, F Fritzl, ... International Journal of Multimedia Information Retrieval 12 (1), 13, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Computational Versus Perceived Popularity Miscalibration in Recommender Systems O Lesota, G Escobedo, Y Deldjoo, B Ferwerda, S Kopeinik, E Lex, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 1 | 2023 |
| EmoMTB: Emotion-aware music tower blocks AB Melchiorre, D Penz, C Ganhör, O Lesota, V Fragoso, F Friztl, ... Proceedings of the 2022 International Conference on Multimedia Retrieval …, 2022 | 1 | 2022 |
| Iguanodon: A Code-Breaking Game for Improving Visualization Literacy P Adelberger, O Lesota, K Eckelt, M Schedl, M Streit OSF Preprints, 2023 | | 2023 |
| GraphTrain: Interactive Journey through Visualization Guidelines/submitted by Oleg Lesota O Lesota | | 2021 |
| Controlling Concepts Information Flow during Inference Time Applied to Bias Mitigation S Masoudian, O Lesota, M Schedl, N Rekabsaz | | |
| Parameter-efficient On-demand Bias Mitigation via AdapterFusion D Kumar, O Lesota, G Zerveas, D Cohen, C Eickhoff, M Schedl, ... | | |
