Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/142307
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- Title
- A Fuzzy approach for website page categorization
- Related
- International Business Information Management Association Conference (14th : 2010) (23 - 24 June 2010 : Istanbul, Turkey)
- Related
- Soliman, Khalid S.. Proceedings of the 14th International Business Information Management Association Conference : business transformation through innovation and knowledge management : an academic perspective, p.579-593
- Publisher
- Norristown, PA : IBIMA
- Date
- 2010
- FoR/RFCD Code(s)
-
130300 Specialist Studies in Education
- Author/Creator
- Abedin, Babak
- Author/Creator
- Abedin, Bahareh
- Description
- With the proliferation of the WWW, providing more intelligent Websites has become a major concern in human-website interactions. Giving more intelligence to e-commerce sites is popularly recognized as one of the effective strategies that increases customer satisfaction because such websites react intelligently and can give a personalized response to each customer. Although several researches have studied usability of websites, there is a lack of quantitative methods to categorize functionality of web pages. That is important issues, because different pages have different role and understanding their roles make it more effective to enhance ease of use and usability of the website. We emphasize the ambiguity of page categorization and propose a fuzzy approach to develop a model to categorize pages as ‘target’, ‘index’, ‘exit’ and ‘start’ page.
- Description
- 15 page(s)
- Subject Keyword
- 130300 Specialist Studies in Education
- Subject Keyword
- website usability analysis
- Subject Keyword
- fuzzy model
- Subject Keyword
- web page categorization
- Subject Keyword
- web metrics
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Accounting and Finance
- Identifier
- http://hdl.handle.net/1959.14/142307
- Identifier
- ISBN:9780982148938
- Identifier
- mq-rm-2009010867
- Language
- eng
- Reviewed
