14:30 - 15:15 Keynote by Katrien Verbert: Explaining Job Recommendations: A Human-Centred Perspective
15:15 - 15:30 Overview: A Challenge-Based Survey of E-recruitment Recommendation Systems
15:30 - 15:45 Contributed talk 1: Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective
15:45 - 16:00 Contributed talk 2: Learning Job Titles Similarity from Noisy Skill Labels
16:00 - 16:15 Contributed talk 3: Internal Placement: Job Recommender Systems with Social Regularization
16:15 - 16:30 Contributed talk 4: Recommender System in A Non-stationary Context: Recommending Job Ads in Pandemic Times
16:30 - 17:00 Coffee Break
17:00 - 17:45 Keynote by Michele Sebag: Discussing Machine Learning and Economic Views on Job Recommendation
17:45 - 18:30 Poster session