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6Agent-mediated architecture for reputation-based electronic tourism systems
Agent-mediated architecture for reputation-based electronic
tourism systems: A neural network approach
Qing Cao a, Marc J. Schniederjans b,*
a University of Missouri-Kansas City, Henry W. Bloch School of Business and Public Administration,
5100 Rockhill Road, Kansas City, MO 64110-2499, United States
b University of Nebraska-Lincoln, College of Business Administration, Lincoln, NE 68588-0491, United States
Received in revised form 17 August 2005; accepted 11 March 2006
Available online 3 May 2006
Abstract
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.
# 2006 Elsevier B.V. All rights reserved.
Keywords: E-commerce; Multiple agent system; Neural networks; Management information systems; Tourism
/locate/im
Information Management 43 (2006) 598–6061. Introduction
Since the first tourism website was launched, e-
tourism has been one of the fastest growing segments of
electronic commerce. In 2005, online tourism transac-
tions jumped to $32.4 billion from only $8.6 billion in
1999, leading all other categories in electronic transac-
tions [18]. To support this dramatic increase in business,
e-tourism utilizes advanced technologies. One of the
most promising technologies for development of
electronic commerce is agent technology. it has been
used in e-tourism and other e-commerce where a
personalized, continuously
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