NDLI: Application of Bayesian Network Sheds Light on Purchase Decision Process Basing on RFID Technology

Content Provider	IEEE Xplore Digital Library
Author	Yi Zuo Yada, K.
Copyright Year	2013
Description	Author affiliation: Data Min. Lab., Kansai Univ., Suita, Japan (Yi Zuo; Yada, K.)
Abstract	Recently, a wireless non-contact technology named RFID(Radio Frequency Identification) has brought a new perspective on process of purchase decision. Via the RFID tag attached to a shopping cart, the position information of customers in a grocery store can be captured every moment. This paper presents our study based on this type of data. In this study, we transform the RFID data into stay time that the customers spend in supermarket until purchase is decided. In addition to RFID data, a purchase transaction based on POS(Point of Sale) data that only represent the point when customers come to purchase can be extended to a process of in-store behavior. As a probabilistic graphical model named bayesian network is employed to applied, we investigate the stay time how to affect the purchase probability. In the experiment, we also reveal that this affect is different during the purchase decision process by customers in individual age bracket. Moreover, numerical results show our proposal has a better accuracy than other models such as logistic regression analysis.
Sponsorship	Toshiba
Starting Page	242
Ending Page	249
File Size	355369
Page Count	8
File Format	PDF
e-ISBN	9781479931422
DOI	10.1109/ICDMW.2013.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy POS Bayesian Network In-store Behavior Purchase Decision Process RFID Bayes methods Regression analysis Marine animals Equations Radiofrequency identification Logistics
Content Type	Text
Resource Type	Article

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