Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers
| dc.contributor.author | LIU, Ying-Hsang | |
| dc.contributor.author | Wacholder, Nina | |
| dc.date.accessioned | 2021-06-16T23:26:59Z | |
| dc.date.issued | 2017 | |
| dc.date.updated | 2020-11-23T10:30:16Z | |
| dc.description.abstract | To 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.sponsorship | This study was funded by NSF grant #0414557, PIs. Michael Lesk and Nina Wacholder | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 0306-4573 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/237751 | |
| dc.language.iso | en_AU | en_AU |
| dc.publisher | Elsevier | en_AU |
| dc.rights | © 2017 Elsevier Ltd | en_AU |
| dc.source | Information Processing and Management | en_AU |
| dc.subject | Information retrieval evaluation | en_AU |
| dc.subject | Medical Subject Headings | en_AU |
| dc.subject | Controlled vocabulary | en_AU |
| dc.subject | Domain knowledge | en_AU |
| dc.subject | User characteristics | en_AU |
| dc.title | Evaluating the impact of MeSH (Medical Subject Headings) terms on different types of searchers | en_AU |
| dc.type | Journal article | en_AU |
| local.bibliographicCitation.issue | 4 | en_AU |
| local.bibliographicCitation.lastpage | 870 | en_AU |
| local.bibliographicCitation.startpage | 851 | en_AU |
| local.contributor.affiliation | Liu, Ying-Hsang, College of Engineering and Computer Science, ANU | en_AU |
| local.contributor.affiliation | Wacholder, Nina, Rutgers University | en_AU |
| local.contributor.authoruid | Liu, Ying-Hsang, u5152830 | en_AU |
| local.description.embargo | 2099-12-31 | |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 080400 - DATA FORMAT | en_AU |
| local.identifier.ariespublication | a383154xPUB5689 | en_AU |
| local.identifier.citationvolume | 53 | en_AU |
| local.identifier.doi | 10.1016/j.ipm.2017.03.004 | en_AU |
| local.identifier.scopusID | 2-s2.0-85016737639 | |
| local.identifier.thomsonID | 000401400000007 | |
| local.publisher.url | https://www.elsevier.com/en-au | en_AU |
| local.type.status | Published Version | en_AU |
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