Abstract
With the rapid development of the Internet, big data have brought better tools and perspectives for the research and development of precise fashion products. In this paper, based on the fashion design industry, interactive operation principle and consumer demand, the relevant data are integrated and the innovative technology architecture is utilized, a decision-making system for data visualization is constructed, and the structural problems among fashion trend prediction, market sales and consumer behavior are accurately described so as to realize accurate fashion trend prediction and user behavior insight, help to predict the precise fashion trend of the brand and complete the rapid recognition of consumers and the adjustment of design strategy.
Cite
CITATION STYLE
Tian, Y., Zhang, Z., Yu, Y., Liu, X., & Huang, H. (2019). The Construction of Visual Cognitive Decision-making Platform with User Insight and the Fashion Trend in the Era of Big Data. In IOP Conference Series: Materials Science and Engineering (Vol. 520). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/520/1/012012
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