Roan Schellingerhout
Fourth-year PhD student at Maastricht University specializing in explainable multi-stakeholder recommender systems, with research on explainable job matching, knowledge graphs, and using LLMs to generate user-friendly explanations.
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Feb 2, 2026 • 27min
Healthy Friction in Job Recommender Systems
Roan Schellingerhout, a fourth-year PhD student at Maastricht University studying explainable multi-stakeholder recommender systems. He talks about explainable job matching, comparing textual, bar chart, and graph explanations. The “healthy friction” study testing real versus random explanations and how people use explanations as info rather than decision rules. Also building knowledge graphs, LLMs for friendly explanations, and plans for fairness and real-world tests.
