An intelligent garment recommendation system based on case-based reasoning technology

Zhang, Junjie; Zeng, Xianyi; Dong, Min; Yuan, Hua; Zhang, Yun

Document type :

Article dans une revue scientifique: Article original

DOI :

10.35530/IT.074.06.202331

Permalink :

http://hdl.handle.net/20.500.12210/114075

Title :

An intelligent garment recommendation system based on case-based reasoning technology

Author(s) :

Zhang, Junjie [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zeng, Xianyi [Auteur]

Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Dong, Min [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Yuan, Hua [Auteur]
Génie des Matériaux Textiles - ULR 2461 [GEMTEX]
Zhang, Yun [Auteur]

Journal title :

Ind. Textila

Abbreviated title :

Ind. Textila

Volume number :

Pages :

Publication date :

2024-01-20

ISSN :

1222-5347

English keyword(s) :

recommendation system
case-based reasoning
successful cases database
similarity degree

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [en]

Garment purchasing through the Internet has become an important trend for consumers. However, various garment e-shopping systems, systematically lack personalized recommendations, like sales advisors in classical shops, ...
Show more >Garment purchasing through the Internet has become an important trend for consumers. However, various garment e-shopping systems, systematically lack personalized recommendations, like sales advisors in classical shops, to propose the most relevant products to different consumers according to their consumer profiles and successful recommendation cases. In this paper, we propose a consumer-oriented recommendation system by Case-based reasoning techniques and Similarity degree of fuzzy sets, which can be used in a garment online shopping system like a virtual sales advisor. This system has been developed by integrating successful recommendation cases and taking into account consumer profiles. It can effectively help consumers to choose garments from the Internet. Compared with other prediction methods, the proposed method is more robust and interpretable owing to its capacity to treat uncertainty. This paper presents an original method for predicting one or several relevant product profiles from the similarity degree between a specific consumer profile and a successful cases database.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

Génie des matériaux textiles (GEMTEX) - ULR 2641

Research team(s) :

Human-Centered Design

Submission date :

2024-05-06T21:15:14Z
2024-09-11T08:23:22Z

Version	Link	Modification date
2	20.500.12210/114075*	2024-09-11T08:15:39Z
1	20.500.12210/114075.1	2024-05-06T21:15:14Z

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An intelligent garment recommendation ...

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