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

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

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.35530/IT.074.06.202331

URL permanente :

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

Titre :

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

Auteur(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]

Titre de la revue :

Ind. Textila

Nom court de la revue :

Ind. Textila

Numéro :

Pagination :

Date de publication :

2024-01-20

ISSN :

1222-5347

Mot(s)-clé(s) en anglais :

recommendation system
case-based reasoning
successful cases database
similarity degree

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [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, ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

Génie des matériaux textiles (GEMTEX) - ULR 2641

Équipe(s) de recherche :

Human-Centered Design

Date de dépôt :

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

Numéro de version	Lien	Date de modification
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 ... BibTeX CSV Excel RIS

Historique des modifications

An intelligent garment recommendation ...

BibTeX

CSV

Excel

RIS