Personalized product recommendation in e-commerce

Author

Weng, Sung-Shun ; Liu, Mei-Ju

Author_Institution

Dept. of Inf. Manage., Fu Jen Univ., Taipei, Taiwan

fYear

2004

fDate

28-31 March 2004

Firstpage

413

Lastpage

420

Abstract

The purpose 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 customer 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.

Keywords

consumer behaviour; customer profiles; electronic commerce; information filters; product development; customer profile; customer purchasing behavior; e-commerce; personalized product recommendation; product development; product feature; product feature database; transaction record; Customer satisfaction; Feedback; History; Information analysis; Information management; Internet; Marketing and sales; Product development; Spatial databases; Transaction databases;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004 IEEE International Conference on

Print_ISBN

0-7695-2073-1

Type

conf

DOI

10.1109/EEE.2004.1287340

Filename

1287340