A Study of Apparel Preferences for College Students Using Data Mining Techniques

被引：0

作者：

Wang, Chien-hua ^{[1
]}

Lee, Wei-Hsuan ^{[2
]}

Yeh, Chia-Hsuan ^{[2
]}

Pang, Chin-Tzong ^{[2
]}

机构：

[1] Lingnan Normal Univ, Sch Business, Zhanjiang, Peoples R China

[2] Yuan Ze Univ, Dept Informat Management, Taoyuan, Taiwan

来源：

2020 6TH INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING, ICCIP 2020 | 2020年

关键词：

Apparel; customer relationship management; college students; data mining;

D O I：

10.1145/3442555.3442560

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Customers have their own preferences on apparel products. Therefore, apparel manufactures have to pay attention to the needs of customers, and then develop and sell different styles of apparel for various consumer groups so as to save costs and achieve higher profit. How to distinguish consumer groups according to their behavior, understand their needs, and manage customers' relationship is a very important issue. This paper mainly focuses on collecting the consumption behavior of clothing for college students, and using the data mining techniques to find potential consumption characteristics and needs. It can help apparel business to make marketing strategies for specific consumption targets, enhance customer loyalty, and maintain good customer relationships.

引用

页码：27 / 31

页数：5