Toward Large-Scale Information Retrieval Using Latent Semant(15)

2020-12-24 20:52

I am deeply indebted to Dr. Michael Berry, my major advisor, for his kind guidance and support. I also thank Dr. Susan Dumais, director of the Information Sciences Research Group at Bellcore, for her technical advice. In addition, she graciously allowed us

Chapter2

Vector-SpaceModelsforInformationRetrieval

Researchininformationretrievalhasfollowedseveralparallel,yetsimilar,http://www.77cn.com.cntentSemanticIndexing(LSI),becauseofthewayitrepresentstermsanddocumentsinaterm-documentspace,isconsideredavector-spaceinformationretrievalmodel.Inthefollowingsections,generalvector-spacemodelsareintroducedandvariousimprovementstothemodelsarediscussed.Inthe nalsection,LSIitselfisconsidered.

2.1IntroductiontoVector-SpaceModels

Thevector-spacemodelsforinformationretrievalarejustonesubclassofretrievaltechniquesthathavebeenstudiedinrecentyears.Thetaxonomyprovidedin[BC87]labelstheclassoftechniquesthatresemblevector-spacemodels“formal,feature-based,individual,partialmatch”retrievaltechniquessincetheytypicallyrelyonanunderlying,formalmathematicalmodelforretrieval,modelthedocumentsassetsoftermsthatcanbeindividuallyweightedandmanipulated,performqueriesby

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