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Article: Design and evaluation of improvement method on the web information navigation - A stochastic search approach

TitleDesign and evaluation of improvement method on the web information navigation - A stochastic search approach
Authors
KeywordsNavigation
Stochastic shortest path
Web
Issue Date2010
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dss
Citation
Decision Support Systems, 2010, v. 49 n. 1, p. 14-23 How to Cite?
AbstractWith the advent of fast growing Internet and World Wide Web (the Web), more and more companies enhance the business competitiveness by conducting electronic commerce. At the same time, more and more people gather or process information by surfing on the Web. However, due to unbalanced Web traffic and poorly organized information, users suffer from slow communication and disordered information. To improve the situation, information providers can analyze the traffic and Uniform Resource Locator (URL) counters to adjust the information layering and organization; nevertheless, heterogeneous navigation patterns and dynamic fluctuating Web traffic complicate the improvement process. Alternatively, improvement can be made by giving direct guidance to the surfers in navigating the Web sites. In this paper, information retrieval on a Web site is modeled as a Markov chain associated with the corresponding dynamic Web traffic and designated information pages. We consider four models of information retrieval based on combination of the level of skill or experience of the surfers as well as the degree of navigation support by the sites. Simulation is conducted to evaluate the performance of the different types of navigation guidance. In addition, we evaluate the four models of information retrieval in terms of complexity and applicability. The paper concludes with a research summary and a direction for future research efforts. © 2009 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/129449
ISSN
2015 Impact Factor: 2.604
2015 SCImago Journal Rankings: 2.262
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYen, BPCen_HK
dc.contributor.authorWan, YWen_HK
dc.date.accessioned2010-12-23T08:37:21Z-
dc.date.available2010-12-23T08:37:21Z-
dc.date.issued2010en_HK
dc.identifier.citationDecision Support Systems, 2010, v. 49 n. 1, p. 14-23en_HK
dc.identifier.issn0167-9236en_HK
dc.identifier.urihttp://hdl.handle.net/10722/129449-
dc.description.abstractWith the advent of fast growing Internet and World Wide Web (the Web), more and more companies enhance the business competitiveness by conducting electronic commerce. At the same time, more and more people gather or process information by surfing on the Web. However, due to unbalanced Web traffic and poorly organized information, users suffer from slow communication and disordered information. To improve the situation, information providers can analyze the traffic and Uniform Resource Locator (URL) counters to adjust the information layering and organization; nevertheless, heterogeneous navigation patterns and dynamic fluctuating Web traffic complicate the improvement process. Alternatively, improvement can be made by giving direct guidance to the surfers in navigating the Web sites. In this paper, information retrieval on a Web site is modeled as a Markov chain associated with the corresponding dynamic Web traffic and designated information pages. We consider four models of information retrieval based on combination of the level of skill or experience of the surfers as well as the degree of navigation support by the sites. Simulation is conducted to evaluate the performance of the different types of navigation guidance. In addition, we evaluate the four models of information retrieval in terms of complexity and applicability. The paper concludes with a research summary and a direction for future research efforts. © 2009 Elsevier B.V. All rights reserved.en_HK
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/dssen_HK
dc.relation.ispartofDecision Support Systemsen_HK
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Decision Support Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Decision Support Systems, 2010, v. 49 n. 1, p. 14-23. DOI: 10.1016/j.dss.2009.12.004-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectNavigationen_HK
dc.subjectStochastic shortest pathen_HK
dc.subjectWeben_HK
dc.titleDesign and evaluation of improvement method on the web information navigation - A stochastic search approachen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0167-9236&volume=49&issue=1&spage=14&epage=23&date=2010&atitle=Design+and+evaluation+of+improvement+method+on+the+web+information+navigation+-+a+stochastic+search+approach-
dc.identifier.emailYen, BPC: benyen@hkucc.hku.hken_HK
dc.identifier.authorityYen, BPC=rp01121en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.dss.2009.12.004en_HK
dc.identifier.scopuseid_2-s2.0-76849096025en_HK
dc.identifier.hkuros177797en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-76849096025&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume49en_HK
dc.identifier.issue1en_HK
dc.identifier.spage14en_HK
dc.identifier.epage23en_HK
dc.identifier.eissn1873-5797-
dc.identifier.isiWOS:000275945100002-
dc.publisher.placeNetherlandsen_HK
dc.identifier.scopusauthoridYen, BPC=7102564239en_HK
dc.identifier.scopusauthoridWan, YW=7402417302en_HK
dc.identifier.citeulike6428985-

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