Paper

Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search

The Unbiased Learning-to-Rank framework has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The method takes two steps - estimating click propensities and using them to train unbiased models... (read more)

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