Application of Decision Tree Algorithm in Online Shopping Decision-making

The Adoption of the Decision Tree Algorithm is helpful in finding out about the influencing factors that affect the consumer online shopping, which is rather important for the manufacturers to improve their marketing strategy. A random sampling of 500 customers was done by means of a questionnaire and a classification regression tree is established of the influencing factors that affect consumers' online shopping decision-making.The results showed that: Classification and Regression Tree could well be adopted in classified prediction of the online shopping decision-making; according to the importance extracting rules, consumers' online shopping experience exerts a greater impact on the decision-making of online shopping; the awareness of the financial risk and privacy risk and some other perception factors are also important in predicting the online shopping decision. In addition, after-sales service that a business can provide, the strong operability of interface operation and characteristics of the consumers themselves will also affect shopping decision to some degree.