| With the continuous development of education in our country,more and more people choose educational training institutions for further study in order to pursue higher learning effect and efficiency,especially in their spare time,in order to improve their academic performance or to enhance their comprehensive business level.It is precisely because of this market demand that many education and training institutions emerge as the times require.In the face of many education and training institutions,many people have no choice.For education and training institutions,it is competition and opportunity.If we can grasp the needs of customers and recommend the corresponding curriculum products,we can gain the trust of customers and form a successful transaction.This paper studies the precision marketing strategy of education and training institutions in the era of big data by taking several existing educational institutions in the market as examples.The main research contents are as follows:At present,after decades of development,the education and training industry in the market has accumulated a lot of customer information.However,the information has not been scientifically and reasonably utilized,which can not provide personalized information services to customers.Therefore,it is necessary to analyze the information by using big data technology,and then provide reference for subsequent marketing.Firstly,the paper analyzes the current operation status of many existing educational institutions in the market,and identifies the main problems to be solved.Then,it investigates and analyzes the needs of different users in the form of use case diagram,and determines the functional requirements of the system: data collection,data storage,user portrait engine,precision marketing management and system configuration management.In addition,some performance requirements of the system are clarified.Using the idea of hierarchical architecture,the system is divided into different levels,each level independently completes the corresponding business,and different levels interact through the interface.The data in the system mainly comes from other application systems,so the interface between the system and the external application system is very important.This paper designs the interface that needs to be connected.By collecting,cleaning,analyzing and storing the data of external application system,the construction of big data platform is realized,which provides good data support for the development of precision marketing management system.Using flow chart,sequence diagram and other ways,the operation process of specific functions is described in detail.Finally,Java EE,Oracle database management system and SSH architecture are used to program the system,and the black box test method is used to test the system.The advantages of the system are: using big data analysis method,integrating the collected customer information,establishing customer profile model and building user interest model.In the system,the Vector Space Model VSM is used to record and model the user’s interest,and TF-IDF algorithm is used to calculate the user’s interest weight,which makes the user’s interest model more scientific and reasonable,and provides reference for precision marketing promotion.The system passed the test has been put into use in many existing educational institutions in the market.Through the application of the system,it can not only accurately lock customers,but also realize the construction of user portraits.Through the neural network algorithm,the user’s interests are matched with the products launched,and the best products suitable for customers are analyzed.In this way,this kind of products can be promoted to customers It is of great significance for the development of many existing educational institutions in the market to recommend courses of interest to customers accurately. |