In recent years, we have witnessed a surge in new retail, which aims to combine the best of physical and online retailing using Internet of things and artificial intelligence techniques. The unmanned store is a representative type of new retail, which leverages wireless sensing and machine learning techniques to recognize fine-grained in-store customer behaviors, infer their intents, and learn their preferences. This paper gives an overview of this emerging research area, presents its key techniques and applications, and discusses the open issues of this field.

中文翻译：

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DeepStore：了解无人商店中的客户行为

近年来，我们目睹了新零售的蓬勃发展，新零售旨在利用物联网和人工智能技术将实体零售和在线零售的优势结合起来。无人店是新零售的代表类型，它利用无线传感和机器学习技术来识别细粒度的店内顾客行为，推断他们的意图，并了解他们的偏好。本文概述了这一新兴研究领域，介绍了其关键技术和应用，并讨论了该领域的开放性问题。