Fairness of Recommender Systems in the Recruitment Domain: An Analysis from Technical and Legal Perspectives
Frontiers in Big Data - Recommender Systems
PhD Student
Tessa Grosz, LL.M.
Johannes Kepler University Linz
Research output
Publications
Identifying Words in Job Advertisements Responsible for Gender Bias in Candidate Ranking Systems via Counterfactual Learning
Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023)