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Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers

dc.contributor.authorLIU, Ying-Hsang
dc.contributor.authorWacholder, Nina
dc.date.accessioned2021-06-16T23:26:59Z
dc.date.issued2017
dc.date.updated2020-11-23T10:30:16Z
dc.description.abstractTo what extent do MeSH terms improve search effectiveness for different kinds of users? We observed four different kinds of information seekers using an experimental information retrieval system: (1) search novices; (2) domain experts; (3) search experts and (4) medical librarians. Participants searched using either a version of the system in which MeSH terms were displayed or another version in which they had to formulate their own terms. The information needs were a subset of the relatively difficult topics originally created for the Text REtrieval Conference (TREC). Effectiveness of retrieval was based on the relevance judgments provided by TREC. The results of the study provide experimental evidence of the usefulness of MeSH terms and further identify the significant relationship between the user characteristics of domain knowledge and search training and the search performance in an interactive search environment.en_AU
dc.description.sponsorshipThis study was funded by NSF grant #0414557, PIs. Michael Lesk and Nina Wacholderen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0306-4573en_AU
dc.identifier.urihttp://hdl.handle.net/1885/237751
dc.language.isoen_AUen_AU
dc.publisherElsevieren_AU
dc.rights© 2017 Elsevier Ltden_AU
dc.sourceInformation Processing and Managementen_AU
dc.subjectInformation retrieval evaluationen_AU
dc.subjectMedical Subject Headingsen_AU
dc.subjectControlled vocabularyen_AU
dc.subjectDomain knowledgeen_AU
dc.subjectUser characteristicsen_AU
dc.titleEvaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchersen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue4en_AU
local.bibliographicCitation.lastpage870en_AU
local.bibliographicCitation.startpage851en_AU
local.contributor.affiliationLiu, Ying-Hsang, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationWacholder, Nina, Rutgers Universityen_AU
local.contributor.authoruidLiu, Ying-Hsang, u5152830en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor080400 - DATA FORMATen_AU
local.identifier.ariespublicationa383154xPUB5689en_AU
local.identifier.citationvolume53en_AU
local.identifier.doi10.1016/j.ipm.2017.03.004en_AU
local.identifier.scopusID2-s2.0-85016737639
local.identifier.thomsonID000401400000007
local.publisher.urlhttps://www.elsevier.com/en-auen_AU
local.type.statusPublished Versionen_AU

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