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Quantitative evaluation of Web site content and structure

Đã lưu trong:
Xuất bản năm:Library Computing vol. 19, no. 3/4 (2000), p. 134-147
Tác giả chính: Bauer, Christian
Tác giả khác: Scharl, Arno
Được phát hành:
Emerald Group Publishing Limited
Những chủ đề:
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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Bài tóm tắt: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.
số ISSN:1527-1161
0278-2634
0742-5759
Nguồn:ABI/INFORM Global