| 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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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| 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. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Smart Card / IC Card / Big Data / Information recommendation |
| Paper # | AI2014-7 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2014/6/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| 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 | |