Presentation | 2021-12-18 Analysis of consumers by age and gender in POS data based on Taylor's law Kazuki Koyama, Mariko Ito, Takaaki Ohnishi, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | System underlying purchase activity is hard to understand because of the heterogeneity in consumers’ behavior. However, we could expect to find a specific pattern if we divide purchase records by considering the feature of products and consumers. We, therefore, classified ID-POS data according to product categories, consumer’s attributes and seasons, and analyzed them based on the theory of Taylor’s law: the power-law relationship between the standard deviation and the mean of sales amounts. We found that the nature of Taylor’s law significantly depends on the category or brand of products. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Taylor’s law / ID-POS data / scaling law / cross-over / sales numbers |
Paper # | NLP2021-57 |
Date of Issue | 2021-12-10 (NLP) |
Conference Information | |
Committee | NLP |
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Conference Date | 2021/12/17(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | J:COM Horuto Hall OITA |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Takuji Kosaka(Chukyo Univ.) |
Vice Chair | Akio Tsuneda(Kumamoto Univ.) |
Secretary | Akio Tsuneda(Kagawa Univ.) |
Assistant | Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) |
Paper Information | |
Registration To | Technical Committee on Nonlinear Problems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of consumers by age and gender in POS data based on Taylor's law |
Sub Title (in English) | |
Keyword(1) | Taylor’s law |
Keyword(2) | ID-POS data |
Keyword(3) | scaling law |
Keyword(4) | cross-over |
Keyword(5) | sales numbers |
1st Author's Name | Kazuki Koyama |
1st Author's Affiliation | Rikkyo University(Rikkyo Univ.) |
2nd Author's Name | Mariko Ito |
2nd Author's Affiliation | Rikkyo University(Rikkyo Univ.) |
3rd Author's Name | Takaaki Ohnishi |
3rd Author's Affiliation | Rikkyo University(Rikkyo Univ.) |
Date | 2021-12-18 |
Paper # | NLP2021-57 |
Volume (vol) | vol.121 |
Number (no) | NLP-307 |
Page | pp.pp.61-66(NLP), |
#Pages | 6 |
Date of Issue | 2021-12-10 (NLP) |