Behaviorally-Informed Recommender Systems for Labor Market Mobility

• In Event: Artificial Intelligence, Machine Learning, and Governance

Brief Overview

This paper employs machine learning and concepts from behavioral economics to provide jobseekers and caseworkers with recommendations on occupational mobility, using a novel dataset comprised of the entire Danish labor force in the period 2008-2016.

Author

• Snorre S. Frid-Nielsen, Roskilde University