Spremljaj
Oleg Lesota
Naslov
Navedeno
Navedeno
Leto
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
1052021
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
502021
Evaluating three corpus-based semantic similarity systems for Russian
P AI, L OO
Dialog 28, 2015
362015
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
352021
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
342022
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
272023
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
252021
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
192022
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
152021
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
132023
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
72022
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
52022
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
22023
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
22022
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
12023
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
12022
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, ...
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