2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Users shopping behavior mining of B2C e-commerce

Authors
Ping Gan
Corresponding Author
Ping Gan
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.127How to use a DOI?
Keywords
B2C e-commerce, Users shopping behavior, Data mining, Basket model
Abstract
Rich transaction information and customer data can be recorded by the back-end database of e-commerce sites. By the application of the basket model in data mining analysis the correlation between data and predict customer loyalty. Then combined with the customer's shopping behavior, sales promotions pattern based prediction model is proposed and implemented. The research results will enable the B2C e-commerce to make the appropriate commercial promotion, and to improve the profitability of the company in the B2C mode by customer behavior, personal preferences.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
DOI
https://doi.org/10.2991/icsem.2013.127How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ping Gan
PY  - 2013/04
DA  - 2013/04
TI  - Users shopping behavior mining of B2C e-commerce
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icsem.2013.127
DO  - https://doi.org/10.2991/icsem.2013.127
ID  - Gan2013/04
ER  -