Design And Implementation Of Fruit E-commerce Platform Based On J2EE

Since the development of China's fresh e-commerce in 2012,fruit e-commerce has become an important part of fresh e-commerce with its own characteristics.Based on B2 B,B2C,O2 O and other modes,it has achieved rapid development,and various platforms emerge in an endless stream.Website platform,retail platform,crowdfunding platform,group purchase platform,etc.,promoted the vigorous development of fruit e-commerce.This article from the user's point of view,to solve the problems encountered by fruit e-commerce,including three aspects,the first is the quality of the fruit,the second is that the offline transport speed is slow,the third is the user Centered service issues.This paper first introduces the current status of domestic and international fruit e-commerce and the development status of local areas,briefly analyzes the advantages and disadvantages of related development technologies,and gives the reasons for the final selection of the technology used in this paper.Secondly,detailed analysis and functional analysis of the fruit e-commerce platform in this paper were made.Based on the detailed requirements analysis and functional analysis,the architecture design of the platform,including design goals,use case models,module design,database design,etc.,lays an important foundation for the iterative development of subsequent versions.Finally,the various functional modules of the fruit e-commerce platform were realized,and the implementation and testing of each functional module was demonstrated.The fruit e-commerce platform is based on J2 EE development technology,using Eclipse 4.7.3(Oxygen)development tools for development,front-end technology(HTML,CSS,j Query,AJAX,JSP),the server uses Nginx server,Tomcat server,Redis server,relationship The database Mysql,the background uses the SSH framework,and analyzes the habits of users to buy fruit,designed the fruit e-commerce platform.In order to bring the user a good shopping experience,this paper adopts the user collaborative filtering recommendation algorithm and improves the user similarity and the time factor to improve the hot list function and the recommended function of the popular search.The fruit e-commerce platform,with the user stickiness of the We Chat platform,combined with 37 physical stores in the local area of Changchun City,carried out a unified platform design and achieved certain results in actual operation.