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The unbiased learning to rank (ULTR) problem has been greatly advanced by recent deep learning techniques and well-designed debias algorithms.
Term-weighting approaches in automatic text retrieval
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Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval
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Letor: A benchmark collection for research on learning to rank for information retrieval
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Position bias estimation for unbiased learning to rank in personal search
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Addressing trust bias for unbiased learning-to-rank
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Err. rank: An algorithm based on learning to rank for direct optimization of expected reciprocal rank
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Unbiased lambdamart: An unbiased pairwise learning-to-rank algorithm
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Constructing click models for mobile search
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A deep recurrent survival model for unbiased ranking
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Ultra: An unbiased learning to rank algorithm toolbox
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Pre-trained language model based ranking in baidu search
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