AN INTELLIGENT TRANSACTION ASSISTANT SYSTEM FOR ELECTRONIC COMMERCE TO RECOMMEND PERSONALIZED TRANSACTION BEHAVIOR

摘要：

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.

关键词： Web intelligence Personal recommendation Fuzzy c-means Grey theory

作者: CHIEN-CHANG HSU WEI-MING CHENG

作者单位: Department of Computer Science and Information Engineering, Fu-Jen Catholic University, 510 Chung Cheng Rd., Hsinchuang, Taipei, Taiwan 242

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1802-1807

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）