Content-Aware Re-Ranking of Job Recommendations with Gradient-Boosted Trees
Online job marketplaces rank openings for each candidate primarily from behavioral signals, which capture popularity and engagement but are largely blind to how well an opening matches a candidate's profile. We study whether a lightweight re-ranking layer can improve such a production ranking by exploiting candidate-op...