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arXiv · 2208.14980

Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias

Nick Wood·Sumit Sidana
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Abstract

In this work, we present a novel way of computing IPS using a position-bias model for deterministic logging policies. This technique significantly widens the policies on which OPE can be used. We validate this technique using two different experiments on industry-scale data. The OPE results are clearly strongly correlated with the online results, with some constant bias. The estimator requires the examination model to be a reasonably accurate approximation of real user behaviour.

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Nick Wood, Sumit Sidana. 2022-08-31. Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias. https://arxiv.org/abs/2208.14980

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