E-recruitment recommendation systems recommend jobs to job seekers and job seekers to
recruiters. The recommendations are generated based on the suitability of job seekers for …

Numerous job openings have been posted online, indicating the increasing importance of
job recommendations. Recently, job seekers often enter their preferences into job search …

Novel data sources bring new opportunities to improve the quality of recommender systems
and serve as a catalyst for the creation of new paradigms on personalized …

In the modern digital era, the integration of machine learning (ML) and deep learning (DL) in
job recommendation systems offers a transformative approach to bridging candidates with …

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 …

The development of job recommendation systems is an important issue to improve the
matching between job seekers and available jobs. In this thesis, we examine the challenges …

Embarking on the journey to choose a career presents a widespread challenge, often
leaving individuals uncertain about their future paths, despite possessing valuable skills …

Causal models are generative models What is special about them ? Page 1 Causal models are
generative models What is special about them ? Mich`ele Sebag TAU, CNRS − INRIA − LISN …