Razali, Sazalinsyah and Osman, Mashanum (2006) Framework for Agent-Based Buying Decision Process. In: Agent Computing and Multi-Agent Systems. Lecture Notes in Artificial Intelligence, 4088 . Springer-Verlag, Berlin Heidelberg, pp. 748-753. ISBN 9783540367079
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Abstract
In traditional business model, the buying decision process is poorly coordinated among the human decision-makers. Therefore, a long-lived, adaptive, and autonomous application called software agents, that can perform tasks such as personalization, brokering, and negotiation in e-commerce is much needed. These applications reside at the buyers’ side or at the sellers’ servers. The purpose of this paper is to research into possible deployment of software agents in a framework for e-commerce buying decision process. This paper overviews the traditional business model, the Consumer Buying Behavior (CBB) model, and also covers the requirements needed for minimizing human interactions in buying decision processes. The research proposes a software agent’s framework in which, two main approaches, namely Automated Collaborative Filtering (ACF) and Better Business Bureau (BBB), are merged to produce better agents in assisting buying decision process. The framework will enable the agents to get the best price for a good product from a reputable merchant.
Item Type: | Book Chapter |
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Additional Information: | This is the authors' version of an article published as Agent Computing and Multi-Agent Systems, Vol. 4088, 2006, pp. 748–753 http://dx.doi.org/10.1007/11802372_89 Copyright © 2006, Springer-Verlag Berlin Heidelberg http://dx.doi.org/10.1007/11802372 which is a Proceedings of the 9th Pacific-Rim International Workshop on Multi-Agents (PRIMA 2006) http://www.ai.soc.i.kyoto-u.ac.jp/prima/. The original publication is available at www.springerlink.com |
Uncontrolled Keywords: | e-commerce, buying decision process, software agents, consumer buying behavior model |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Information and Communication Technology > Department of Software Engineeering Faculty of Information and Communication Technology > Department of Industrial Computing |
Depositing User: | Dr. Sazalinsyah Razali |
Date Deposited: | 14 Nov 2012 15:46 |
Last Modified: | 28 May 2015 02:17 |
URI: | http://eprints.utem.edu.my/id/eprint/177 |
Statistic Details: | View Download Statistic |
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