Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance
Topics: Marc Najork, Ranking
The document introduces a new approach called Regression Compatible Ranking (RCR) that aims to optimize listwise ranking while maintaining scale-calibrated scores. This method is designed to improve the alignment of ranking and regression components, making it suitable for applications like YouTube Search where calibrated output is crucial for downstream processes.
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