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Conference Paper: Navigational structure mining for usability analysis
| Title | Navigational structure mining for usability analysis |
|---|---|
| Authors | |
| Issue Date | 2005 |
| Citation | Proceedings - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05, 2005, p. 126-131 How to Cite? |
| Abstract | Web hyperlink analysis has been successfully applied to improve search engines and to analyze patterns in the global web. However, little work has been done in analyzing the hyperlink graph of a website for information architecture and usability analysis. In this paper, we propose a hyperlink frequent itemsets extraction algorithm which allows the automatic extraction of navigational structures in a website without performing hypertext analysis. Experimental results show that the structure mining algorithm can automatically discover navigational structures within websites with high accuracy. Further tests with our novel usability system reveals that measured usability of a website have a direct correlation with properly designed navigational structures in the home of a website. © 2005 IEEE. |
| Persistent Identifier | http://hdl.handle.net/10722/352112 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Chui, Chun Kit | - |
| dc.contributor.author | Li, Chun Hung | - |
| dc.date.accessioned | 2024-12-16T03:56:46Z | - |
| dc.date.available | 2024-12-16T03:56:46Z | - |
| dc.date.issued | 2005 | - |
| dc.identifier.citation | Proceedings - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05, 2005, p. 126-131 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/352112 | - |
| dc.description.abstract | Web hyperlink analysis has been successfully applied to improve search engines and to analyze patterns in the global web. However, little work has been done in analyzing the hyperlink graph of a website for information architecture and usability analysis. In this paper, we propose a hyperlink frequent itemsets extraction algorithm which allows the automatic extraction of navigational structures in a website without performing hypertext analysis. Experimental results show that the structure mining algorithm can automatically discover navigational structures within websites with high accuracy. Further tests with our novel usability system reveals that measured usability of a website have a direct correlation with properly designed navigational structures in the home of a website. © 2005 IEEE. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Proceedings - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05 | - |
| dc.title | Navigational structure mining for usability analysis | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.scopus | eid_2-s2.0-30944443261 | - |
| dc.identifier.spage | 126 | - |
| dc.identifier.epage | 131 | - |