Research and Development of Online Precision Marketing System Based on Decision Tree Algorithm

The market competition of online marketing is still intensifying. In order to achieve their own competitive advantage, related online marketing enterprises and platforms must deepen consumer research in order to provide effective basis for the formulation of related marketing strategies. This topic collects relevant data by tracking each user, then analyzes the characteristics of Internet user data, finds out the sticky attribute set, uses the improved ID3 algorithm to classify Internet user data, and digs out potential members, false members and sticky members of Internet users. Then sort out and design the database and system, define the system function, and develop an online precision marketing system based on DT (Decision tree) algorithm. The system test shows that the basic function of the system has passed the test, and most problems have been solved well. After the test, the average response time of the user’s request is 0.1 seconds, and the maximum response time is 0.5 seconds. The results show that the improved ID3 algorithm can effectively improve the computational efficiency of the algorithm, improve the bias problem of the ID3 algorithm, and improve the accuracy of the algorithm. The feasibility and reliability of the online precision marketing system are verified, and it has high application value.