Research on the intelligent shopping model based on case-based reasoning

被引：0

作者：

Zeng Zi-ming ^{[1
]}

Meng Bo ^{[1
]}

机构：

[1] Wuhan Univ, Sch Comp, Wuhan 430072, Peoples R China

来源：

PROCEEDINGS OF 2005 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1 AND 2 | 2005年

关键词：

case-based reasoning; electronic commerce; agent system; case library; similarity;

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：

An agent-based shopping model for electronic commerce is proposed in this paper. The aim of it is to automate shopping process by assisting customers to have commodity information retrieval and comparison in the Internet. The shopping model consists of several agents that collaborate with each other by the message delivery mechanism. Based on the agent technology, the method of case-based reasoning is applied to build a multi-criteria evaluation. A new algorithm of calculating the similarity degree based on Euclidean Distance is put forward in the paper. Thus, similar commodity can be found out accurately and qualitative or quantitative evaluation of recommended commodity scheme can be given. The shopping model provides a particular solution for Internet shopping. It's suitable to design personalized service for e-commerce.

引用

页码：1718 / +

页数：4