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Nov, 2020
推荐系统的对抗性反事实学习和评估
Adversarial Counterfactual Learning and Evaluation for Recommender System
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Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan
TL;DR
本论文提出了一种基于极小值-最大值经验风险的新型推荐算法,该算法使用属于敌对领域的候选模型对反驳所述推荐模型中的潜在暴露机制的对手进行了建模,并使用模拟研究验证了此方法在推荐设置的不同方面的优越性。
Abstract
The feedback data of
recommender systems
are often subject to what was exposed to the users; however, most learning and evaluation methods do not account for the underlying exposure mechanism. We first show in theory that applying
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