An Intelligent Transaction Assistant System for Electronic Commerce to Recommend Personalized Transaction Behavior

Author

Hsu, Chien-chang ; Cheng, Wei-Ming

Author_Institution

Fu-Jen Catholic Univ., Taipei

Volume

3

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

1802

Lastpage

1807

Abstract

Personalized service and friendly transaction environment are important factors in successful electronic commerce. This work proposes an intelligent interface to help customer transactions in electronic commerce. The system collects consuming behaviors by monitoring customer operations and recognizing the behavior patterns using RBF neural networks. The system then uses fuzzy c-means and grey theory to recommend personalized transaction behaviors for the customer.

Keywords

consumer behaviour; customer relationship management; electronic commerce; fuzzy set theory; grey systems; information filtering; information filters; pattern clustering; radial basis function networks; user interfaces; RBF neural network; customer personalized transaction behavior; customer transaction monitoring; electronic commerce; friendly transaction environment; fuzzy c-means clustering algorithm; grey theory; information filtering; intelligent interface; intelligent transaction assistant system; recommendation system; Cybernetics; Data analysis; Data mining; Electronic commerce; History; Information filtering; Intelligent systems; Machine learning; Neural networks; Pattern recognition; Fuzzy c-means; Grey theory; Personal recommendation; Web intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2007 International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-0973-0

Electronic_ISBN

978-1-4244-0973-0

Type

conf

DOI

10.1109/ICMLC.2007.4370440

Filename

4370440