An Intelligent Recommender System for Personalized Fashion Design

被引：0
|
作者：
Zeng, X. [1 ]
Koehl, L. [1 ]
Wang, L. [2 ]
Chen, Y. [2 ]
机构：
[1] ENSAIT, GEMTEX Lab, 2 Allee Louise & Victor Champier, F-59056 Roubaix, France
[2] Soochow Univ, Coll Text & Clothing Engn, Natl Engn Lab Modern Silk, Suzhou 215021, Peoples R China
来源：
PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) | 2013年
关键词：
FUZZY; EXPERT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper originally proposes an intelligent recommender system for supporting personalized fashion design. Based on two models characterizing relations between human body measurements and human perceptions on human body shapes, we develop the criteria permitting to evaluate a set of new design styles for a specific garment customer and a desired fashion theme. In this approach, the intelligent techniques, including decision trees, cognitive maps and fuzzy relations computation, have been used.
引用
收藏
页码：760 / 765
页数：6
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