Aiming at the lack of in-depth analysis of user behavior and personalized design feedback in current computer webdesign, this paper proposes a computer web design system based on big data analytics. The system aims to improve thepersonalization degree and user experience quality of web design by comprehensively utilizing user interaction data. Byintroducing big data analytics, the system can extract key information from a large amount of user interaction data and providedata support for designers. The experimental results show that the system effectively improves the user interaction quality andsatisfaction of web design, proving the application value of big data analytics in computer web design. It provides a new workingmode for the field of web design, helping designers to better understand user requests and create more attractive and effectiveweb design solutions.