Smart Store Understanding Consumer's Preference through Behavior Logs

机译：智能商店通过行为日志了解消费者的偏好

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This paper presents a smart store that estimates a preference of consumers concerning products from their behaviors. This paper proposes a method, which is a passive observation and an active observation, to observe two behaviors, direct behaviors and indirect behaviors. The passive observation is a method to observe direct behaviors of customers towards real products through ambient sensors. The active observation is a method to observe indirect behaviors of customers towards information of products through ambient displays. This study explains a purchase experiment using a prototype smart store that has installed the ambient shelves and displays. This study estimates the favorite clothes from their direct and indirect behavior using the smart store. The result of estimation of preference shows that accuracy rate is 87% by leave-one-out cross-validation.

机译：本文介绍了一种智能商店，该商店根据消费者的行为来估计消费者对产品的偏好。本文提出了一种被动观察和主动观察的方法来观察两种行为，即直接行为和间接行为。被动观察是一种通过环境传感器观察客户对真实产品的直接行为的方法。主动观察是一种通过环境显示观察顾客对产品信息的间接行为的方法。这项研究说明了使用已安装环境货架和展示架的原型智能商店进行的购买实验。这项研究使用智能商店根据喜爱和直接的行为来估计喜爱的衣服。偏好估计的结果表明，通过留一法交叉验证，准确率为87％。

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来源
《Internationalization, design and global development》|2011年|p.385-392|共8页
会议地点 Orlando FL(US);Orlando FL(US);Orlando FL(US);Orlando FL(US)
作者
Akihiro Ogino; Taketo Kobayashi; Yusuke Iida; Toshikazu Kato;
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作者单位

Faculty of Computer Science and Engineering, Kyoto Sangyo University, Japan;

Faculty of Industrial Engineering, Chuo University, Japan;

Faculty of Industrial Engineering, Chuo University, Japan;

Faculty of Industrial Engineering, Chuo University, Japan;

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原文格式 PDF
正文语种 eng
中图分类自动化系统理论;
关键词
ubiquitous environment; ambient technology; behavior analysis; customer preference; retail store;

机译：无处不在的环境；环境技术；行为分析；客户喜好；零售店;

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Smart Store Understanding Consumer's Preference through Behavior Logs

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