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Quantitive evaluation of Web site content and structure

Christian Bauer (Christian Bauer (bauerc@cbs.curtin.edu.au) is at Electronic Commerce Network, Curtin University of Technology, Perth, Western Australia.)
Arno Scharl (Arno Scharl (scharl@wu‐wien.ac.at) is at the Information Systems Department, Vienna University of Economics & BA, Vienna, Austria.)

Internet Research

ISSN: 1066-2243

Article publication date: 1 March 2000

Abstract

Describes an approach automatically to classify and evaluate publicly accessible World Wide Web sites. The suggested methodology is equally valuable for analyzing content and hypertext structures of commercial, educational and non‐profit organizations. Outlines a research methodology for model building and validation and defines the most relevant attributes of such a process. A set of operational criteria for classifying Web sites is developed. The introduced software tool supports the automated gathering of these parameters, and thereby assures the necessary “critical mass” of empirical data. Based on the preprocessed information, a multi‐methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and non‐supervised neural networks and manual classification for validation purposes.

Keywords

Citation

Bauer, C. and Scharl, A. (2000), "Quantitive evaluation of Web site content and structure", Internet Research, Vol. 10 No. 1, pp. 31-44. https://doi.org/10.1108/10662240010312138

Publisher

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MCB UP Ltd

Copyright © 2000, MCB UP Limited