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Author

Oleg Lesota

Observed name: Lesota, Oleg
ORCID: 0000-0002-8321-6565
Observed ORCID: 0000-0002-8321-6565
OpenAlex ID: A5034972662
Investigating gender fairness of recommendation algorithms in the music domain
2021 · Alessandro B. Melchiorre, Navid Rekabsaz, et al. · Information Processing & Management · 151
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Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
2021 · Oleg Lesota, Alessandro Melchiorre, et al. · ACM Conference on Recommender Systems (RecSys) · 68
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LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
2022 · Markus Schedl, Stefan Brandl, et al. · Conference on Human Information Interaction and Retrieval · 57
Unlearning Protected User Attributes in Recommendations with Adversarial Training
2022 · Christian Ganhör, David Penz, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 48
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Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation
2023 · Alessandro B. Melchiorre, David Penz, et al. · International Journal of Multimedia Information Retrieval · 33
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Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results
2023 · Klara Krieg, Emilia Parada-Cabaleiro, et al. · Conference on Human Information Interaction and Retrieval · 27
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Parameter-efficient Modularised Bias Mitigation via AdapterFusion
2023 · Deepak Kumar, Oleg Lesota, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 13
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Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
2024 · Oleg Lesota, Jonas Geiger, et al. · ACM Conference on Recommender Systems (RecSys) · 12
Computational Versus Perceived Popularity Miscalibration in Recommender Systems
2023 · Oleg Lesota, Gustavo Escobedo, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 7
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Fine-tuning for Inference-efficient Calibrated Recommendations
2025 · Oleg Lesota, Adrian Bajko, et al. · ACM Conference on Recommender Systems (RecSys) · 5
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EmoMTB: Emotion-aware Music Tower Blocks
2022 · Alessandro B. Melchiorre, David Penz, et al. · International Conference on Multimedia Retrieval · 5
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Iguanodon: A Code-Breaking Game for Improving Visualization Construction Literacy
2024 · Patrick Adelberger, Oleg Lesota, et al. · IEEE Transactions on Visualization and Computer Graphics · 2
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Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
2026 · Zihan Li, Gustavo Escobedo, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1
Extending Logic Tensor Networks to Implicit Feedback for Representation-Aware Music Recommendation
2026 · Hannah Eckert, Oleg Lesota, et al. · Lecture notes in computer science · 1
Investigating Carbon Footprint of Recommender Systems Beyond Training Time
2025 · Josef Schodl, Oleg Lesota, et al. · ACM Conference on Recommender Systems (RecSys) · 1
Parameter-efficient Modularised Bias Mitigation via AdapterFusion
2023 · Kumar, Deepak, Lesota, Oleg, et al. · arXiv (Cornell University) · 1
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Multi-Attribute and Intersectional Exposure Fairness in Recommender Systems
2026 · Paul Anton Bachmann, Hannah Eckert, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
Training seeds and model-selection stability in recommender-system evaluation
2026 · Juan Manuel Rodriguez, Oleg Lesota, et al. · ACM Conference on Recommender Systems (RecSys)
What Price Fairness? Evaluating Energy – Fairness – Accuracy Trade-off in Recommender Systems
2026 · Abhirup Mitra, Oleg Lesota, et al. · ACM Conference on Recommender Systems (RecSys)
Calibrating Recommendations on Ordinal Attributes
2026 · Marta Moscati, Varvara Toloknova, et al. · ACM Conference on Recommender Systems (RecSys)
Cognitive Biases in Recommender Systems
2026 · Markus Schedl, Oleg Lesota, et al. · ACM Conference on Recommender Systems (RecSys)
Robustness and User-Perceived Value of Popularity Calibration in Music Recommendation: A User Study
2026 · Lesota, Oleg, Escobedo, Gustavo, et al. · arXiv (Cornell University)
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Calibration in recommender systems
2026 · Lesota, Oleg · University Library Linz repository (Johannes Kepler Universitat Linz)
The Importance of Cognitive Biases in the Recommendation Ecosystem
2024 · Schedl, Markus, Lesota, Oleg, et al. · arXiv (Cornell University)
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Spin-Wave Voices: Sonification of Nanoscale Spin Waves as an Engagement and Research Tool
2024 · Santa Pile, Oleg Lesota, et al. · International Conference on Auditory Display (ICAD)
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Works count: 29
Citation count: 432
H-index: 8
I10-index: 8
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