Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance

Aijun Bai, Rolf Jagerman, Zhen Qin +6

As Learning-to-Rank (LTR) approaches primarily seek to improve ranking quality, their output scores are not scale-calibrated by design. This fundamentally limits LTR usage in score…