An Intelligent Trade Matching System for B2B Marketplace

摘要：

With the fast growth of B2B sales, an intelligent system is greatly useful for decreasing transaction cost and increasing market efficiency on electronic platforms. In order to improve the quality of transaction processing and customer experience, this paper proposes a knowledge-based system, which employs a Case-Based Reasoning (CBR) technique for trade matching in B2B marketplace as a substitute for the manual matching process. The system function and logical architecture are discussed. And the case repository is proposed to support this CBR approach where the case representation, case base indexing, case base decomposition and the dictionary are argued in details.

关键词： B2B trade matching CBR intelligent system

作者: YangJian Jiao Yongbing Yan Jianyuan Guo Hailing

作者单位: Economics and Management School, Ningbo University of Technology, China Business School, Nankai University, China

会议类型: 国际会议

会议名称: The Eleventh Wuhan International Conference on E-Business(第十一届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 326-331

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）