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dc.contributor.authorNicholson, Scott
dc.date.accessioned2005-02-14T00:00:01Z
dc.date.available2010-06-18T23:38:17Z
dc.date.issued2000en_US
dc.date.submitted2005-02-14en_US
dc.identifier.citationRaising Reliability of Web Search Tool Research through Replication and Chaos Theory 2000, 51(8):724-729 Journal of the American Society for Information Scienceen_US
dc.identifier.urihttp://hdl.handle.net/10150/106017
dc.description.abstractBecause the World Wide Web is a dynamic collection of information, the Web search tools (or "search engines") that index the Web are dynamic. Traditional information retrieval evaluation techniques may not provide reliable results when applied to the Web search tools. This study is the result of ten replications of the classic 1996 Ding and Marchionini Web search tool research. It explores the effects that replication can have on transforming unreliable results from one iteration into replicable and therefore reliable results after multiple iterations.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectInterneten_US
dc.subject.otherautomated retrieval mechanismsen_US
dc.subject.otherqueriesen_US
dc.titleRaising Reliability of Web Search Tool Research through Replication and Chaos Theoryen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalJournal of the American Society for Information Scienceen_US
refterms.dateFOA2018-08-21T15:31:11Z
html.description.abstractBecause the World Wide Web is a dynamic collection of information, the Web search tools (or "search engines") that index the Web are dynamic. Traditional information retrieval evaluation techniques may not provide reliable results when applied to the Web search tools. This study is the result of ten replications of the classic 1996 Ding and Marchionini Web search tool research. It explores the effects that replication can have on transforming unreliable results from one iteration into replicable and therefore reliable results after multiple iterations.


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