Users shopping behavior mining of B2C e-commerce
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.127How to use a DOI?
- B2C e-commerce, Users shopping behavior, Data mining, Basket model
- 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.
- 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 SP - 632 EP - 635 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.127 DO - https://doi.org/10.2991/icsem.2013.127 ID - Gan2013/04 ER -