Big data in fashion industry

17th World Textile Conference AUTEX 2017 - Shaping the Future of Textiles

Jain, S.^1,2,3,4 ; Bruniaux, J.^2 ; Zeng, X.^1,2 ; Bruniaux, P.^1,2

Univ Lille Nord de France, Lille

F-59000, France^1

GEMTEX, ENSAIT, Roubaix

F-59100, France^2

Swedish School of Textiles, University of Boras, Boras

S-50190, Sweden^3

College of Textile and Clothing Engineering, Soochow University, Suzhou, China^4

关键词: Fashion industry;    Trend forecasting;    Voluminous data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/254/15/152005/pdf
DOI  :  10.1088/1757-899X/254/15/152005

来源: IOP

【 摘 要 】

Significant work has been done in the field of big data in last decade. The concept of big data includes analysing voluminous data to extract valuable information. In the fashion world, big data is increasingly playing a part in trend forecasting, analysing consumer behaviour, preference and emotions. The purpose of this paper is to introduce the term fashion data and why it can be considered as big data. It also gives a broad classification of the types of fashion data and briefly defines them. Also, the methodology and working of a system that will use this data is briefly described.