论文标题
使用位置偏差的基于确定性排名列表的逆向倾向分数基于线离线估计器
Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias
论文作者
论文摘要
在这项工作中，我们提出了一种使用位置偏差模型来计算IP的新型方法，以确定性记录策略。该技术大大扩大了可以使用OPE的策略。我们使用有关行业规模数据的两个不同的实验来验证这一技术。 OPE结果显然与在线结果密切相关，并且存在一些持续的偏见。估算器要求检查模型是对真实用户行为的合理准确近似。
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.
