Research On Accurate Marketing Classification Of E-commerce Platform Based On Classification Algorithm

With the development of computer information technology and the rapid spread of the Internet,people's lifestyles have undergone revolutionary changes.Especially in the era of big data,the data has grown exponentially.The traditional marketing model can not meet the needs of users and can not add more benefits to enterprises.Accurate marketing has emerged.The precision marketing in the era of big data is based on data,multi-dimensional analysis of the behavior and attribute data of enterprise users,and targeted marketing activities.This article is based on the theory of precision marketing theory,and describes the focus of marketing activities in the era of big data is the effective analysis of marketing data and how to use machine learning to improve data analysis capabilities.Taking the classification problem common in precision marketing as an example,this paper introduces the principle definition of classification problem,classification problem in precision marketing,and solves classification problem by machine learning.In the introduction of machine learning to solve classification problems,choose the logistic regression classification algorithm commonly used in classification problems,random forest classification algorithm,naive Bayes classification algorithm and K nearest neighbor classification algorithm,respectively explain the principle,derivation process and advantages and disadvantages of the four algorithms.And take an actual precision marketing classification problem as an example to introduce the application of four algorithm models in actual precision marketing activities,and compare the advantages and disadvantages of the four algorithm models in the sample data training process and the problems and solutions Method.In the last chapter of the article,it is pointed out that the limitations of this paper are insufficient.I hope this article can provide some effects on the research of classification in the field of precision marketing.