Personalized product recommendation in E-commerce

被引：0

作者：

Weng, SS ^{[1
]}

Liu, MJ ^{[1
]}

机构：

[1] Fu Jen Catholic Univ, Dept Informat Management, Taipei, Taiwan

来源：

2004 IEEE INTERNATIONAL CONFERNECE ON E-TECHNOLOGY, E-COMMERE AND E-SERVICE, PROCEEDINGS | 2004年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this paper is to analyze customers' purchasing behaviors based on product features from transaction records and product feature databases. Customers' preferences toward particular features of products are analyzed and then rules of customer interest profiles are thus derived in order to recommend customers products that have potential attraction with customers. The approach of this paper has its strength to be able to recommend to customers brand new products or rarely purchased products as long as they fit customer interest profiles. This research also derives customers' interest profiles that can explain recommendation results. The interests on particular features of products can be referenced for product development.

引用

页码：413 / 420

页数：8

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