Toward Large-Scale Information Retrieval Using Latent Semant(13)

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

and,byexaminingtheclustersofinformation,derivingmeaningfulconclusionsfromthedata.Clearly,conceptualinformationretrievalmodels,becauseofthewaytheyrepresentinformationindependentlyoftheactualdataitself(typically,theyrepresentthedataasapointinspaceratherthanasasetofwords),aresuperiortolexicalmatchingtechniqueswhenoneisattemptingtoderivemeaningfromalarge,heterogeneousdataset.

1.2.2DigitalLibraries

Whetherthewords“digitallibrary”evokeimagesofnewmethodsofaccessingandviewinginformationormerelyanelectronicformofthetraditionallibrary,informationretrievaltechnologieswillplayasigni cantroleinthewaytheinformationisorganizedandsearched.Already,severalWorld-WideWebsiteshavebegunindexingcomputersciencetechnicalreports,allowinguserstosearchabstractsofthetechnicalreportsorthefulltextofthetechnicalreportsthemselves[Fox95].Futuristshopedigitallibrarieswillbeabletoprovidegreateraccesstoinformation,increasetheroyaltiespaidtoauthors,andallowinformationtobedynamic(and,therefore,alsocontinuallyup-to-date)ratherthanstatic[Wie95].

1.2.3InformationFiltering

Asinformationbecomesmoreabundantandeasiertodisseminate,peoplewillbecomelessabletohandlethecontinuous owofinformation.Tohelppeoplebetterdealwiththebarrageofinformation,automaticinformation lteringtechniquescanbeusedtodiscardinformationirrelevanttoaperson’sinterestswhileallowingtherestoftheinformationtopassthroughthe http://www.77cn.com.cnrmation lteringisverysimilartoinformationretrieval.Insteadofretrievinginformationrelatedtoauser’squery,though,theusertypicallycreatesapro leofwhatheorshewishestoview,andtheincomingdocumentsarecomparedtothepro le.Documentsthatmatchthepro leareallowedtopassthroughthe lter,whiletheotherdocumentsarediscarded.The

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