A personalized recommender system for the cosmetic business

被引：96

作者：

Wang, YF ^{[1
]}

Chuang, YL ^{[1
]}

Hsu, MH ^{[1
]}

Keh, HC ^{[1
]}

机构：

[1] Chang Gung Inst Technol, Dept Informat Management, Taoyuan, Taiwan

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2004年 / 26卷 / 03期

关键词：

data mining; association rules; clustering; recommender system;

D O I：

10.1016/j.eswa.2003.10.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to have an effective command of the relationship between customers and products, we have constructed a personalized recommender system which incorporates content-based, collaborative filtering, and data mining techniques. We have also introduced a new scoring approach to determine customers' interest scores on products. To demonstrate how our system works, we used it to analyze real cosmetic data and generate a recommender score table for sellers to refer to. After tracking its performance for I year, we have obtained quite impressive results. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：427 / 434

页数：8

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