Cart (Loading....) | Create Account
Close category search window

Capability model for case-based reasoning in collaborative commerce environment

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Zhang, Chenghong ; School of Management, Fudan University, Shanghai 200433, China ; Chen, Langtao ; Zhang, Cheng ; Huang, Lihua

Collaborative commerce (c-commerce) has become an innovative business paradigm that helps companies achieve high operational performance through inter-organizational collaboration. This paper presents an effective case-based reasoning (CBR) capability model for solution selection in c-commerce applications, as CBR is widely used in knowledge management and electronic commerce. Based on the case-based competence model suggested by Smyth and McKenna, a directed graph was used to represent the collaborative reasoning history of CBR systems, where information of reasoning process ability was extracted. Experiment was carried out on a travel dataset. By integrating case-based competence and reasoning process ability, the capability is more suitable to reflect the real ability of CBR systems. The result shows that the proposed method can effectively evaluate the capability of CBR systems and enhance the performance of collaborative case-based reasoning in c-commerce environment.

Published in:

Tsinghua Science and Technology  (Volume:10 ,  Issue: S1 )

Date of Publication:

Dec. 2005

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.