Shandong University (Weihai), Weihai 264200, China.
Comput Intell Neurosci. 2022 Aug 18;2022:8523763. doi: 10.1155/2022/8523763. eCollection 2022.
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.
本文运用商业网站界面设计来展示大数据聚类和视觉传达技术的应用。通过分析大数据聚类技术和视觉传达对商业网站界面设计理念和设计方法的广泛影响，本文提出了用户整合、情感和个性化的新要求。然后，本文专注于网络界面设计中视觉图形元素的信息，讨论了结构、图像、文字、情感等元素如何通过图形手段更有效地传达信息，创造性地将网络界面中的信息分为隐性和显性两类。作为本文的一部分，还构建了界面交互系统的数据库，使用模糊聚类对来自界面检索数据库的数据进行组织，并采用过程约束的层次结构设计方法进行界面信息交互和大数据融合处理。实验结果表明，该算法的准确率可达 95.75%，比其他方法高出约 11%。本研究可为商业网站用户界面提供可行的设计策略。
