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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A framework for performance evaluation of Intelligent Search Agents

A framework for performance evaluation of Intelligent Search Agents
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Author(s): Nurul I. Sarkar (Auckland University of Technology, New Zealand)and Naveed Iqbal (Auckland University of Technology, New Zealand)
Copyright: 2007
Pages: 4
Source title: Managing Worldwide Operations and Communications with Information Technology
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-929-8.ch223
ISBN13: 9781599049298
EISBN13: 9781466665378


Because of the intelligent search agents (ISAs) can automate the process of searching through and evaluating reams of information on the Web, these agents are becoming increasingly popular in applications such as e-commerce and online businesses worldwide. While efforts have been made recently to develop various ISAs and multi-agents systems, very little is understood and known about the performance evaluation of such agents. A robust framework is required to assist efficient performance evaluation of ISAs. In this paper, we propose a framework for performance evaluation and comparison of ISAs. The proposed framework allows experimentation in which search agents can be evaluated based on a performance metric. This paper provides an in-depth performance evaluation of five selected ISAs to verify the robustness of the framework. The proposed framework is simple and can easily be adapted to applications requiring performance evaluation of similar intelligent agents.

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