The Design And Implementation Of E-commerce Website Systems Based On Individualized Recommendations

With the rapid development of computer technology in the information age,online e-commerce mode based on virtual market has become an indispensable part of people's life.With the rise of major e-commerce,how to make more customer groups choose to buy goods in their own websites has always been the pursuit of major e-commerce platforms.As a result,a personalized recommendation system that intelligently explores customer needs emerges.The system can not only help sellers to sell more goods,but also accurately grasp customers' demand for goods.Aiming at the existing recommendation system algorithms,this paper focuses on the accuracy of the recommended products,that is,the consistency between the recommendation results and customer needs.The feasibility of this topic is proved by the test results of open source data sets on the network.Firstly,this paper analyses the existing recommendation algorithms,describes the basic implementation process and structure of the technology,and then introduces in detail the relevant technologies used in this topic,such as collaborative filtering algorithm,recommendation processing process and the basic principles of system construction.Next,the functional modules are designed through the requirement analysis,mainly using JAVA as programming language,and the data association information of the e-commerce platform based on recommendation system is designed on Oracle database platform.Finally,the recommendation algorithm is embedded into a network shopping system which can provide personalized recommendation,and the number of implementations can be basically achieved.According to the function modules of collection,recommendation result processing,user interaction and system management,the behavior of recommending related commodities to the customers who browse the web page is finally completed.Based on the three-tier architecture technology and according to the actual situation of personalized recommendation of the existing e-commerce platform,this paper establishes the personalized e-commerce system.Through the implementation of this design,the e-commerce platform can achieve more flexible customer attraction,and also can make the security,accuracy and stability of information data.Guaranteed.