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Relevance odds of retrieval overlaps from seven search fields

dc.contributor.authorPao, Miranda Leeen_US
dc.date.accessioned2006-04-10T18:11:30Z
dc.date.available2006-04-10T18:11:30Z
dc.date.issued1994en_US
dc.identifier.citationPao, Miranda Lee (1994)."Relevance odds of retrieval overlaps from seven search fields." Information Processing & Management 30(3): 305-314. <http://hdl.handle.net/2027.42/31615>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6VC8-469V2FJ-3R/2/9b2ae54861abe25a6c5d05fe391069aaen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31615
dc.description.abstractData contained in a 1982 paper were analyzed in terms of relevance odds of common items retrieved by searching any two content-bearing search fields. While the 1982 study compared the relative retrieval performance of 7 search fields, the present study shows that duplicate documents retrieved by the use of terms from any two of the fields would have higher odds of being judged relevant than those retrieved by only one of the fields. Sixty-three relevance odds were computed using the log cross product technique. The highest relevance odds were associated with common items retrieved from assigned descriptors and from truncated free-text terms from either the title or abstract fields; their relevance odds were 19 to 2 in favor of overlaps. Overlap retrieval could be considered a strategy for high precision searching.en_US
dc.format.extent874701 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleRelevance odds of retrieval overlaps from seven search fieldsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelInformation and Library Scienceen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Information and Library Studies, University of Michigan, Ann Arbor, MI, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31615/1/0000546.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0306-4573(94)90046-9en_US
dc.identifier.sourceInformation Processing & Managementen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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