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Smart Store Understanding Consumer’s Preference through Behavior Logs

  • Akihiro Ogino
  • Taketo Kobayashi
  • Yusuke Iida
  • Toshikazu Kato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6775)

Abstract

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.

Keywords

Ubiquitous Environment Ambient Technology Behavior Analysis Customer Preference Retail store 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Akihiro Ogino
    • 1
  • Taketo Kobayashi
    • 2
  • Yusuke Iida
    • 2
  • Toshikazu Kato
    • 2
  1. 1.Faculty of Computer Science and EngineeringKyoto Sangyo UniversityJapan
  2. 2.Faculty of Industrial EngineeringChuo UniversityJapan

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