Agent-mediated architecture for reputation-based electronic tourism systems: A neural network approach

被引:15
作者
Cao, Qing
Schniederjans, Marc J. [1 ]
机构
[1] Univ Nebraska, Coll Business Adm, Lincoln, NE 68588 USA
[2] Univ Missouri, Henry W Bloch Sch Business & Publ Adm, Kansas City, MO 64110 USA
关键词
E-commerce; multiple agent system; neural networks; management information systems; tourism;
D O I
10.1016/j.im.2006.03.001
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Agent technology can be used in searching and selecting a good e-tourism system. However, most such systems focus mainly on price and avoid important purchasing decision-making factors such as quality and reputation. Here we define a reputation-based architecture for an e-tourism system that we have called 'reputation-based electronic tourism' (RET). An artificial neural network model was created for a reputation agent to evaluate capabilities for selecting products and services in an e-tourism setting. The classification performance of the model was compared to another method. The results indicated that RET could outperform and be more accurate in classifying perspective products and services for consumers. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:598 / 606
页数:9
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