Research On Product Recommendation Method Of Company A Based On Naive Bayesian Classifier

With the popularity of e-commerce,while providing users with a variety of goods,it also provides users with more diversified choices.However,in the face of such a variety of commodity information,how to quickly and accurately choose the required goods has become a topic of concern to users and enterprises.With the development of data mining,marketing is becoming more and more precise.Statistical analysis and modeling through mathematical methods can recommend more and more useful information for customers and achieve the purpose of marketing.Product recommendation has been widely used in finance,e-commerce and other fields.Recommended marketing model can improve the competitiveness of the company,it also can find customer needs and improve customer experience.Large-scale e-commerce websites have relatively perfect recommendation system,but small e-commerce websites often lack recommendation system or effective recommendation system,these companies are at a competitive disadvantage.This study aims at small e-commerce platforms,through the analysis of basic information and historical transaction data of customers,to recommend useful information to customers,to achieve the purpose of marketing.Taking the marketing data of company A as an example,this thesis used mathematical method to build a set of feasible schemes to provide product recommendation services for customers.The main contents of this thesis are as follows:(1)Use mathematical method to model the product recommendation scheme of company A.The main methods used include bayes theorem,naive bayes classifier and Laplace correction.On the basis of mathematical model,the product recommendation of new customers and old customers of company A is further verified,and the significance of personalized recommendation is clarified.(2)According to the current situation of company A,the problem of product recommendation of company A is analyzed,and the necessity of product recommendation of company A is analyzed,It provided general guidance for the formulation of recommendation scheme of Company A.