Nowadays, pattern generation algorithm has become an important research trend in the field of visual design. As an automatic design tool, it has gradually been widely used. These algorithms create patterns through computer programs, which not only greatly improve the efficiency of design, but also generate complex and diverse visual effects. The purpose of this study is to explore the innovative application of pattern generation algorithm in VC and its effect evaluation. We used online tracking tools, questionnaires, A/B tests and other data collection methods, and made a detailed analysis from the aspects of user behavior data, user satisfaction survey and page participation index. In this paper, we collected data from many dimensions, such as user’s stay time, click times, page download time, bounce rate, conversion rate, revisit rate, social sharing volume, user feedback volume and click volume of popular maps. By comparing the effects of pattern generation algorithm and static mode, we evaluate the effect of pattern generation algorithm on improving the user’s experience and interaction. Through the pattern generation algorithm, it takes 2.5 s to load a web page, while it takes 2.1 s for a static pattern page. The implementation of this project will provide new ideas and methods for the development of pattern generation algorithm in VC, and provide effective reference for designers and developers in practice.