摘要翻译：
我们开发了购物数据的序贯概率模型SHOPPER。SHOPPER使用可解释的组件来建模驱动客户如何选择产品的力量；特别是，我们设计了SHOPPER来捕捉物品与其他物品的交互方式。我们开发了一种有效的后验推理算法来从大规模数据中估计这些力，并对一个大型连锁杂货店的大型数据集进行了分析。我们有兴趣回答关于价格变化的反事实询问。我们发现，即使在价格干预下，SHOPPER也能提供准确的预测，它有助于识别互补和替代的产品对。
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英文标题：
《SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and
  Complements》
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作者：
Francisco J. R. Ruiz, Susan Athey, David M. Blei
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最新提交年份：
2019
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分类信息：

一级分类：Statistics        统计学
二级分类：Machine Learning        机器学习
分类描述：Covers machine learning papers (supervised, unsupervised, semi-supervised learning, graphical models, reinforcement learning, bandits, high dimensional inference, etc.) with a statistical or theoretical grounding
覆盖机器学习论文（监督，无监督，半监督学习，图形模型，强化学习，强盗，高维推理等）与统计或理论基础
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一级分类：Computer Science        计算机科学
二级分类：Machine Learning        机器学习
分类描述：Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.
关于机器学习研究的所有方面的论文（有监督的，无监督的，强化学习，强盗问题，等等），包括健壮性，解释性，公平性和方法论。对于机器学习方法的应用，CS.LG也是一个合适的主要类别。
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一级分类：Economics        经济学
二级分类：Econometrics        计量经济学
分类描述：Econometric Theory, Micro-Econometrics, Macro-Econometrics, Empirical Content of Economic Relations discovered via New Methods, Methodological Aspects of the Application of Statistical Inference to Economic Data.
计量经济学理论，微观计量经济学，宏观计量经济学，通过新方法发现的经济关系的实证内容，统计推论应用于经济数据的方法论方面。
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英文摘要：
  We develop SHOPPER, a sequential probabilistic model of shopping data. SHOPPER uses interpretable components to model the forces that drive how a customer chooses products; in particular, we designed SHOPPER to capture how items interact with other items. We develop an efficient posterior inference algorithm to estimate these forces from large-scale data, and we analyze a large dataset from a major chain grocery store. We are interested in answering counterfactual queries about changes in prices. We found that SHOPPER provides accurate predictions even under price interventions, and that it helps identify complementary and substitutable pairs of products.
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PDF链接：
https://arxiv.org/pdf/1711.03560