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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