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A study on fuzzy ranking model based on user preference
- Authors
- 김대원
- Issue Date
- Jun-2006
- Publisher
- 한국지능시스템학회
- Keywords
- Fuzzy similarity measure; relevance ranking; information retrieval
- Citation
- 한국지능시스템학회 논문지, v.16, no.3, pp 326 - 331
- Pages
- 6
- Journal Title
- 한국지능시스템학회 논문지
- Volume
- 16
- Number
- 3
- Start Page
- 326
- End Page
- 331
- ISSN
- 1976-9172
- 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.
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