To read this content please select one of the options below:

Jeans knowledge base development based on sensory evaluation technology for customers’ personalized recommendation

Junjie Zhang (Engineering Research Center of Hubei Province for Clothing Information, School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China) (University of Lille, Lille, France) (GEMTEX Laboratory, ENSAIT, Roubaix, France)
Xianyi Zeng (Engineering Research Center of Hubei Province for Clothing Information, School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China) (University of Lille, Lille, France) (GEMTEX Laboratory, ENSAIT, Roubaix, France)
Kaixuan Liu (University of Lille, Lille, France) (GEMTEX Laboratory, ENSAIT, Roubaix, France) (Apparel and Art Design College, Xi’an Polytechnic University, Xi’an China)
Hong Yan (University of Lille, Lille, France) (GEMTEX Laboratory, ENSAIT, Roubaix, France) (College of Textile and Clothing Engineering, Soochow University, Suzhou, China)
Min Dong (University of Lille, Lille, France) (GEMTEX Laboratory, ENSAIT, Roubaix, France) (School of Mathematics and Computer Science, Wuhan Textile University, Wuhan, China)

International Journal of Clothing Science and Technology

ISSN: 0955-6222

Article publication date: 22 March 2018

Issue publication date: 22 March 2018

291

Abstract

Purpose

The purpose of this paper is to set up a women’s jeans knowledge base between consumer profile and jeans profile. The result of study could be applied to jeans recommendation system for a special consumer.

Design/methodology/approach

Women’s jeans are chosen as research objects. The sensory evaluation technology and intelligent data fusion methods are applied in this research.

Findings

Eight pairs of words were selected to set up normalized sensory evaluation criteria in the study for describing both consumers’ expectations and products. The relation between consumer profile and jeans profile could be quantified according to the principle of sensory evaluation technology.

Practical implications

Four experiments are designed for setting up this knowledge base by sensory evaluation technology, and set up the women’s jeans knowledge base by intelligent data fusion methods.

Originality/value

The theory of sensory evaluation technology is applied for building women’s jeans knowledge base that can be used for consumer-oriented intelligent garment recommendation system.

Keywords

Acknowledgements

This paper was financially supported by China National Endowment for the Arts and Research Project of Hubei Provincial Department of Education (No. B2016065).

Citation

Zhang, J., Zeng, X., Liu, K., Yan, H. and Dong, M. (2018), "Jeans knowledge base development based on sensory evaluation technology for customers’ personalized recommendation", International Journal of Clothing Science and Technology, Vol. 30 No. 1, pp. 101-111. https://doi.org/10.1108/IJCST-03-2017-0036

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles