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

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.