Research on the Precise Recommendation of e-Commerce Enterprise Products Based on Customer Purchasing Behavior Data Mining

In order to explore the precise recommendation of E-commerce Enterprise Products based on customer purchasing behavior, a precise recommendation of E-commerce Enterprise Products based on customer purchasing behavior data mining is proposed. In this method, through the key technical problems and solutions of the information recommendation based on customer purchasing behavior data mining, the research on accurate recommendation of customer purchasing behavior is explored. The research shows that the sales rate of the precise recommendation of E-commerce Enterprise Products based on customer purchasing behavior data mining is about 60% higher than that of traditional methods. The investigation of customer purchasing behavior problems should not only focus on the customers themselves. Sometimes the product quality and business services will influence the online consumer purchasing behavior indirectly. The model generated by the influencing factors of each consumer’s purchasing behavior or its own attribute model can contribute to the prediction of customers purchasing behavior.