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A study on fuzzy ranking model based on user preference
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김대원 | - |
| dc.date.available | 2019-08-23T06:02:14Z | - |
| dc.date.issued | 2006-06 | - |
| dc.identifier.issn | 1976-9172 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/36017 | - |
| dc.description.abstract | A greatdealofresearchhasbeenmadetomodelthevaguenessanduncertaintyin informationretrieval.Onesuchresearchis fuzzyrankingmodels,which have been showing theirsuperiorperformancein handling theuncertaintyinvolved intheretrieval process.In thisstudywe develop a new fuzzyrankingmodel basedon theuserpreference.Throughtheexperimentson theTREC-2collectionofWallStreetJournaldocuments,weshow thattheproposedmethodoutperformstheconventionalfuzzyrankingmodels. | - |
| dc.format.extent | 6 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 한국지능시스템학회 | - |
| dc.title | A study on fuzzy ranking model based on user preference | - |
| dc.type | Article | - |
| dc.identifier.bibliographicCitation | 한국지능시스템학회 논문지, v.16, no.3, pp 326 - 331 | - |
| dc.identifier.kciid | ART001012695 | - |
| dc.description.isOpenAccess | N | - |
| dc.citation.endPage | 331 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 326 | - |
| dc.citation.title | 한국지능시스템학회 논문지 | - |
| dc.citation.volume | 16 | - |
| dc.publisher.location | 대한민국 | - |
| dc.subject.keywordAuthor | Fuzzy similarity measure | - |
| dc.subject.keywordAuthor | relevance ranking | - |
| dc.subject.keywordAuthor | information retrieval | - |
| dc.description.journalRegisteredClass | kci | - |
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