Design and Implementation of Online Shopping Mall Based on Collaborative Filtering.

With the rapid development of science and technology, especially the rapid progress of the Internet, the e-commerce industry has ushered in unprecedented development opportunities. However, existing e-commerce platforms still have many problems in terms of user experience and functionality, such as the lack of accuracy in the recommendation system, inconsistency in product descriptions, and lack of reliability in user reviews. In this paper, we design and implement an online shopping mall system based on Spring Boot and Vue framework, aiming to improve user experience through advanced information technology and optimization algorithms. The system is developed in Java language, and the architecture is divided into Filter/Interceptor Layer, Controller Layer, Service Layer, and Dao Layer, which ensures the efficiency and maintainability of the system. The introduction of collaborative filtering algorithms significantly improves the accuracy of product recommendations, provides personalized services, and improves the user shopping experience. Meanwhile, the dynamically updated sensitive word filtering mechanism safeguards the healthy environment of the comment area and improves user trust. The experimental results show that the system achieves the expected goals in terms of functionality and performance, which provides a reference and reference for the development of future e-commerce platforms. [ABSTRACT FROM AUTHOR]