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- research-articleJuly 2024
Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 1546–1556https://doi.org/10.1145/3626772.3657892Unbiased learning-to-rank (ULTR) is a well-established framework for learning from user clicks, which are often biased by the ranker collecting the data. While theoretically justified and extensively tested in simulation, ULTR techniques lack empirical ...
