Contact
Toward Job Recommendation for All
This paper presents a job recommendation algorithm designed and validated in the context of the French Public Employment Service. The challenges, owing to the confidential data policy, are related wit ...
CAI 2023 - The 32nd International Joint Conference on Artificial Intelligence, Aug 2023, Macau, China. pp.5906-5914, 2023
Fairness in job recommendations: estimating, explaining, and reducing gender gaps
Algorithmic recommendations of job ads have the potential to reduce frictional unemployment, but raise concerns about fairness due to biases in past data. Our research investigates the issue of algori ...
AEQUITAS 2023 - First AEQUITAS Workshop on Fairness and Bias in AI, Oct. 2023, Krakov, Poland, 2023