Research output per year
Research output per year
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Mitigating Gender Bias in Job Ranking Systems Using Job Advertisement Neutrality
Kumar, D., Masoudian, S., Melchiorre, A. & Schedl, M., 31 Jul 2025, Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI). p. 264-271 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Open Access -
Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems
Melchiorre, A., Masoudian, S., Kumar, D. & Schedl, M., 2024, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024). Vol. 14941. 16 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives
Kumar, D., Grosz, T., Rekabsaz, N., Greif, E. & Schedl, M., 2023, In: Frontiers in Big Data. 6, 14 p., 1245198.Research output: Contribution to journal › Article › peer-review
Open Access -
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
Kumar, D., Grosz, T., Greif, E., Rekabsaz, N. & Schedl, M., 2023, Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR @ RecSys 2023),. 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
Kumar, D., Grosz, T., Greif, E., Rekabsaz, N. & Schedl, M., 2023, CEUR Workshop Proceedings. Vol. 3490. 8 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review