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Performance of question-based vs keyword-based search engines and effect of web user characteristics on search engine performance

dc.contributor.buuauthorÖzmutlu, Seda
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentEndüstri Mühendisliği Bölümü
dc.contributor.researcheridAAH-4480-2021
dc.contributor.scopusid6603660605
dc.date.accessioned2022-03-14T06:01:44Z
dc.date.available2022-03-14T06:01:44Z
dc.date.issued2005
dc.description.abstractPurpose - The purpose of this study is to investigate whether question and keyword-format queries are more successfully processed by search engines encouraging answers to searching and keyword-format querying, respectively. This study aims to investigate whether web user characteristics and choice of search engine affects the relevancy scores and precision of the results. Design/methodology/approach - The results of two search engines, Google and AskJeeves, were compared for question and keyword-format queries. It was observed that AskJeeves was slightly more successful in processing question-format queries, but this finding was not statistically supported. However, Google provided results on keyword-format queries and the entire set of queries, which were statistically superior to those of AskJeeves. Findings - Analysis of variance (ANOVA) showed that the age of web user is not as affective on the relevancy score and precision of results as other factors. Interactions of the main factors were also affective on the relevancy scores and precision, meaning that the different combinations of various factors cause a synergy in terms of relevancy scores and precision. Research limitations/implications - This was a preliminary work on the effect of user characteristics on comprehension and evaluation of search query results. Future work includes expanding this study to include more web user characteristics, more levels of the web user characteristics, and inclusion of more search engines. Originality/value - The findings of this study provide statistical proof for the relationship between the characteristics of web users, choice of search engine and the relevancy scores and precision of search results.
dc.identifier.citationÖzmutlu, S. (2005). "Performance of question-based vs keyword-based search engines and effect of web user characteristics on search engine performance". Online Information Review, 29(6), 656-675.
dc.identifier.doi10.1108/14684520510638098
dc.identifier.endpage675
dc.identifier.issn1468-4527
dc.identifier.issn1468-4535
dc.identifier.issue6
dc.identifier.scopus2-s2.0-29044446079
dc.identifier.startpage656
dc.identifier.urihttps://doi.org/10.1108/14684520510638098
dc.identifier.urihttps://www.emerald.com/insight/content/doi/10.1108/14684520510638098/full/html
dc.identifier.urihttp://hdl.handle.net/11452/24960
dc.identifier.volume29
dc.identifier.wos000234492700006
dc.indexed.wosSCIE
dc.indexed.wosSSCI
dc.language.isoen
dc.publisherEmerald Group Publishing
dc.relation.journalOnline Information Review
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectComputer science
dc.subjectInformation science & library science
dc.subjectInformation retrieval
dc.subjectSearch engines
dc.subjectAnalysis of variance
dc.subjectRegression analysis
dc.subjectMinimizing mean flowtime
dc.subjectReal-time methodology
dc.subjectInformation-seeking
dc.subjectAnswers
dc.subjectFMSS
dc.subjectRegression analysis
dc.subjectWorld wide web
dc.subjectAnalysis of variance (ANOVA)
dc.subjectQuery results
dc.subjectSearch engines
dc.subjectWeb users
dc.subject.scopusQuery Reformulation; Image Indexing; Digital Libraries
dc.subject.wosComputer science, information systems
dc.subject.wosInformation science & library science
dc.titlePerformance of question-based vs keyword-based search engines and effect of web user characteristics on search engine performance
dc.typeArticle
dc.wos.quartileQ3
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Endüstri Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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