Application of Big Data Clustering and Visual Communication in Business Website Interface Design

Abstract

The interface design of commercial websites is used in this paper to demonstrate the application of big data clustering and visual communication technologies. This paper presents the new requirements of user integration, emotion, and personalization by analyzing the broad influence of big data clustering technology and visual communication on the design concept and design method of commercial website interface design. Then, focusing on the information of visual graphic elements in web interface design and discussing how structures, images, words, emotions, and other elements can convey information more effectively through graphic means, the information in the web interface is creatively divided into two types: implicit and explicit. The database for the interface interaction system is built as part of this paper, which also uses fuzzy clustering to organize the data from the interface retrieval database and the hierarchical structure design method of process constraints to carry out interface information interaction and big data fusion processing. According to experiments, this algorithm’s accuracy can reach 95.75%, which is about 11% higher than that of other approaches. This study can offer a workable design strategy for a business website’s user interface.