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Article Dans Une Revue Industria Textila Année : 2020

Garment knowledge base development based on fuzzy technology for recommendation system

Junjie Zhang
  • Fonction : Auteur
Min Dong
  • Fonction : Auteur
Weibo Li
  • Fonction : Auteur
Hua Yuan
  • Fonction : Auteur

Résumé

With the rapid development of garments recommendation systems, more and more garment knowledge base have been widely developed. The research in this paper aims to build a garment knowledge base in order to help general consumers to identify the most relevant products satisfying their specific requirements. We design four experiments for building this knowledge base by 8 pairs of normalized sensory evaluation criteria for describing both consumers’ expectations and product profile. The theory of fuzzy composition technology is applied for setting up garment knowledge base which can be used for consumer-oriented intelligent garment recommendation system. Compared with the other knowledge base, this knowledge base is more robust and more interpretable owing to its capacity of handling vague, imprecise, uncertain, or ambiguous.

Dates et versions

hal-04506879 , version 1 (22-03-2024)

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Junjie Zhang, Xianyi Zeng, Min Dong, Weibo Li, Hua Yuan. Garment knowledge base development based on fuzzy technology for recommendation system. Industria Textila, 2020, Industria Textila, 71, pp.421-426. ⟨10.35530/IT.071.05.1724⟩. ⟨hal-04506879⟩

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