Zhou, Yujia

Reinforcement Learning to Rank Using Coarse-grained Rewards

2022 · arXiv (Cornell University)

Learning to rank (LTR) plays a crucial role in various Information Retrieval (IR) tasks. Although supervised LTR methods based on fine-grained relevance labels (e.g., document-level annotations) have achieved significant success, their reliance on costly and …