Presentation 2014-06-19
Analysis of Purchase Behavior based on IC card usage record before and after Transportation
Akifumi KIYOHIRO, Kohei YAMAGUCHI, He GAO, Hiroyuki NAKAMURA, Tsunenori MINE,
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Abstract(in English) Capturing people's behavior patterns, such as purchase patterns or shop-around-behavior patterns, are big marketing concern since such patterns are good resources to invent new marketing services. To this end, a lot of studies using POS (Points Of Sales) data have been conducted to extract purchase behaviors for CRM (Customer Relation Management). In addition, since a lot of widespread sensor devices, smart cards or mobile phones have become available recently, anyone can try to analyze pedestrians' trajectories obtained as GPS data and extract people's behavior patterns. However, only few research has been conducted to analyze relationships between boarding and purchase behaviors based on usage histories of smart IC cards. This paper presents case studies of purchase behavior analysis based on usage histories of smart IC cards, especially focusing on purchase behaviors of passengers who just get on and off trains.
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Keyword(in English) Smart Card / IC Card / Big Data / Information recommendation
Paper # AI2014-7
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Committee AI
Conference Date 2014/6/12(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Purchase Behavior based on IC card usage record before and after Transportation
Sub Title (in English)
Keyword(1) Smart Card
Keyword(2) IC Card
Keyword(3) Big Data
Keyword(4) Information recommendation
1st Author's Name Akifumi KIYOHIRO
1st Author's Affiliation Dept. of Advanced Information Technology, Graduate School of IEEE, Kyushu University()
2nd Author's Name Kohei YAMAGUCHI
2nd Author's Affiliation Dept. of Advanced Information Technology, Graduate School of IEEE, Kyushu University
3rd Author's Name He GAO
3rd Author's Affiliation Dept. of Advanced Information Technology, Graduate School of IEEE, Kyushu University
4th Author's Name Hiroyuki NAKAMURA
4th Author's Affiliation Dept. of Advanced Information Technology, Graduate School of IEEE, Kyushu University
5th Author's Name Tsunenori MINE
5th Author's Affiliation Dept. of Advanced Information Technology, Graduate School of IEEE, Kyushu University:Dept. of Advanced Information Technology, Faculty of IEEE, Kyushu University
Date 2014-06-19
Paper # AI2014-7
Volume (vol) vol.114
Number (no) 89
Page pp.pp.-
#Pages 6
Date of Issue