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Quantitative evaluation of Web site content and structure

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Pubblicato in:Library Computing vol. 19, no. 3/4 (2000), p. 134-147
Autore principale: Bauer, Christian
Altri autori: Scharl, Arno
Pubblicazione:
Emerald Group Publishing Limited
Soggetti:
United Kingdom > UK
Neural networks
Software
Research
Hypertext
Statistical analysis
Information systems
Automation
Retail banking
Profits
World Wide Web
Classification
Software utilities
Internet resources
Semantics
Websites
Guidelines
Site Analysis
Information Retrieval
Hypermedia
Educational Technology
Individualized Instruction
Case Studies
Program Evaluation
Evidence
Awards
Internet
Comparative Analysis
Directories
Computer Software
Semiotics
Research Methodology
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Abstract:Data regarding the use of autonomous software tools to capture the characteristics of commercial Web information systems, determine their specific importance, and store them in a central data repository, are presented. The ultimate goal is to develop a consistent analysis and evaluation framework for publicly accessible hypertext structures. 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.
ISSN:1527-1161
0278-2634
0742-5759
Fonte:ABI/INFORM Global