Titre :

Recommending Garment Products in E-Shopping Environment by Exploiting an Evolutionary Knowledge Base

Auteur(s) :

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

Nom court de la revue :

Int. J. Comput. Intell. Syst.

Numéro :

11

Pagination :

340-354

Date de publication :

2018-05-18

ISSN :

1875-6891

Mot(s)-clé(s) en anglais :

recommendation system
knowledge base
self-learning
human-machine interaction
feedback

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Garment purchasing through the e-shopping platforms has become an important trend for consumers of all parts of the world. More and more e-shopping platforms have proposed recommendation functions to consumers in order to ...
Lire la suite >Garment purchasing through the e-shopping platforms has become an important trend for consumers of all parts of the world. More and more e-shopping platforms have proposed recommendation functions to consumers in order to make them to obtain more easily desired products and then increase shopping sales. However, there are two main drawbacks in the existing recommendation systems. First, it systematically lacks feedback processing in these systems. If a consumer is not satisfied with the recommendation result, there is no self-adjustment function. The other drawback is that the existing recommendation systems are mostly closed, without considering the possibility of data and knowledge updating. Considering the above drawbacks, we propose a new recommendation system integrating the following features: 1) automatic adjustment of the knowledge according to the consumers’ feedback, 2) making the system open and adaptive so that the consumer can easily add or replace criteria and data. This proposed recommendation system can effectively help consumers to choose garments on the Internet. Compared with the other systems, the proposed one is more robust and more interpretable owing to its capacity of handling uncertainty.Lire moins >

Langue :

Anglais

Audience :

Non spécifiée

Vulgarisation :

Non

Établissement(s) :

Université de Lille
ENSAIT
Junia HEI

Collections :

• Génie des matériaux textiles (GEMTEX) - ULR 2641

Date de dépôt :

2023-06-20T02:28:37Z
2023-08-29T06:18:13Z
2024-01-31T11:10:37Z