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Conference Paper: Structure-based analysis of Web sites

TitleStructure-based analysis of Web sites
Authors
Issue Date2004
PublisherIEEE, Computer Society.
Citation
IEEE International Conference on e-Technology, e-Commerce and e-Service Proceedings, Taiwan, China, 28-31 March 2004, p. 529-532 How to Cite?
AbstractThe performance of information retrieval on the Web is heavily influenced by the organization of Web pages, user navigation patterns, and guidance-related functions. Having observed the lack of measures to reflect this factor, this paper focuses on an approach based on both structure properties and navigation data to analyze and improve the performance of Web site. Two types of indices are defined two major factors for analysis and improvement- "aaccessibility" reflects the structure property to measure how easy the user can access the pages and "popularity" implies the navigation data primarily based on the log statistics. The accessibility and popularity (A-P) plot serves as a compass for the Web designer to get an overview of current performance status and explore in the possible directions for improvement to balance the design anticipation and navigation expectation.
Persistent Identifierhttp://hdl.handle.net/10722/48483
References

 

DC FieldValueLanguage
dc.contributor.authorYen, Ben_HK
dc.date.accessioned2008-05-22T04:14:38Z-
dc.date.available2008-05-22T04:14:38Z-
dc.date.issued2004en_HK
dc.identifier.citationIEEE International Conference on e-Technology, e-Commerce and e-Service Proceedings, Taiwan, China, 28-31 March 2004, p. 529-532en_HK
dc.identifier.urihttp://hdl.handle.net/10722/48483-
dc.description.abstractThe performance of information retrieval on the Web is heavily influenced by the organization of Web pages, user navigation patterns, and guidance-related functions. Having observed the lack of measures to reflect this factor, this paper focuses on an approach based on both structure properties and navigation data to analyze and improve the performance of Web site. Two types of indices are defined two major factors for analysis and improvement- "aaccessibility" reflects the structure property to measure how easy the user can access the pages and "popularity" implies the navigation data primarily based on the log statistics. The accessibility and popularity (A-P) plot serves as a compass for the Web designer to get an overview of current performance status and explore in the possible directions for improvement to balance the design anticipation and navigation expectation.en_HK
dc.format.extent121046 bytes-
dc.format.extent2297 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE 2004en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleStructure-based analysis of Web sitesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYen, B: benyen@hkucc.hku.hken_HK
dc.identifier.authorityYen, B=rp01121en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/EEE.2004.1287358en_HK
dc.identifier.scopuseid_2-s2.0-4544322851en_HK
dc.identifier.hkuros110041-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-4544322851&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage529en_HK
dc.identifier.epage532en_HK
dc.identifier.scopusauthoridYen, B=7102564239en_HK

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