Design and Implementation of Personalized Precision Marketing System Based on Deep Belief Network

Abstract

Firstly, this paper introduces the characteristics of data mining (DM) technology and the research status of association rule mining, and describes how to implement the classical Apriori algorithm. Secondly, aiming at the defects of the classical association rule mining algorithm (Apriori algorithm) in DM, this paper discusses the optimization of association rules in DM, and gives an optimization algorithm based on segmentation. Using the improved Apriori algorithm to analyze the association rules, and design the system application business, so that enterprises can accurately locate customers through customized business and services, find customer needs, analyze customer behavior and evaluate customer value through data analysis, and then formulate targeted marketing strategies to meet the personalized needs of customers. So as to reduce its marketing cost. After testing and development, the effect is very ideal.