Design And Implementation Of Online House Selection Platform Based On Mpvue And Spring Boot

With the rapid development of information technology in China,the informatization of the Internet has penetrated into many industries.The emergence of mobile phones has made Chinese enterprises re-emphasize the importance of mobile Internet.Promote the Internetization of real estate information.The rapid development of the country's economy has caused people to start pursuing better urban life,and has also promoted the urbanization process in our country and regions.The acceleration of the urbanization process will allow population to flow to cities.As the urban population increases,so does the demand for housing.After the reform and opening up,the mobile Internet began to enter a stage of rapid development.In order to comply with this trend,the real estate industry began to use the mobile Internet to place transactions on the mobile phone.Focused investment managers came into being.This article will introduce the key problems and technical implementation in the development process of the focus smart investment manager with five aspects of introduction,technical overview,requirements,design,implementation and testing.The platform uses the Mpvue technology framework for front-end page development,and the back-end programming selects the Spring Boot framework for implementation.The My SQL database is used to store the data.This project uses Git technology for code management,combined with linear regression algorithms and collaborative filtering algorithms.Forecasting and recommending housing prices and real estate,based on this foundation,the project was researched and realized.Analyze the functional requirements and non-functional requirements of the system;elaborate on the outline design of the project.The system includes user login module,authority management module,data analysis and statistics module,information promotion and promotion activity module,and customer purchase management module.The detailed implementation process and test content of the project are presented,and the results are displayed,and finally the project is summarized and prospected.At present,this project has been basically completed,and has been put on line and put into use.The project research results have met the needs of users through system testing and have brought no small benefits to the internship unit.The platform not onlyallows administrators to control the allocation of clues and permission operations for consulting listings,but also allows consultants to understand the specific business situation of the listings,as well as the source and destination of information,which effectively provides consultants with convenience.It also allows customers to master the data through the online house purchase system,giving customers full selectivity and reliability.