Design And Implementation Of Online Shopping System Based On Personalized Recommendation

With the continuous development of Internet technology and the construction and popularization of network informatization,China’s e-commerce has developed rapidly.People are more and more fond of purchasing goods on e-commerce platforms.At the same time,e-commerce systems are also facing many challenges.How to design an e-commerce website with complete functions,easy maintenance,and strong scalability is an important research hotspot.In addition,with the development of e-commerce,the variety and quantity of goods are becoming more and more abundant.Consumers need to spend a lot of time and energy to find interesting goods among a large number of goods.Therefore,a personalized recommendation system that can solve the problem of information overload and information loss is also an indispensable part of e-commerce.Through Vue.js,Spring,Spring MVC,My Batis and other frameworks,a fully functional,high-performance online shopping website consisting of a front-end portal system and a back-end management system has been implemented to meet the needs of businesses and consumers.The front-end system is divided into a user module,a commodity module,a shopping cart module,and an order module;the back-end system is divided into a member management module,a commodity management module,an order management module,and a personalized recommendation module.The personalized recommendation system generates user preferences by collecting user behaviors,so as to perform user-based and item-based collaborative filtering recommendations in different scenarios.In addition,users are also performed based on user personal information and product information.recommend.The overall architecture uses Dubbo as the solution,uses My SQL as the database,uses Redis for data caching,and uses Solr to build product data indexes,and implements product search through Solr services,reducing the pressure on the database.According to the technologies and methods mentioned above,after detailed analysis and design,an online shopping system that completes all functional and non-functional requirements is finally realized,and users can be personalized recommendations based on different user preferences.