一种改进的web文档关键词权重计算方法(英文)-豆柴文库

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一种改进的web文档关键词权重计算方法(英文)
Title:AnImprovedMethodforCalculatingKeywordWeightinWebDocuments
Abstract:
Withtherapidgrowthofwebdata,efficientindexingandretrievalofinformationhasbecomeacrucialaspectofwebsearchengines.Theaccuracyandrelevanceofsearchresultslargelydependontheeffectivenessofkeywordweightingmethods.Thispaperpresentsanimprovedmethodforcalculatingthekeywordweightinwebdocuments.Theproposedmethodincorporatesvariousfactorssuchastermfrequency,inversedocumentfrequency,documentlength,andtermpositionstoprovidemoreaccuratekeywordweights.Experimentalresultsonadatasetcomprisingwebdocumentsdemonstratetheeffectivenessandsuperiorityoftheproposedmethodovertraditionalapproaches.
1.Introduction
Inthefieldofinformationretrieval,keywordweightingplaysasignificantroleindeterminingtherelevanceofdocumentstouserqueries.Traditionalmethodssuchastermfrequency-inversedocumentfrequency(TF-IDF)arecommonlyusedtocalculatekeywordweightsinwebdocuments.However,suchmethodsoftenfailtoconsidervariousfactorsthatcaninfluencetheimportanceofakeywordwithinadocument.Thispaperproposesanimprovedmethodthatconsidersmultiplefactorstoenhancetheaccuracyofkeywordweights.
2.LiteratureReview
Thissectionprovidesanoverviewofexistingkeywordweightingmethodsandtheirlimitations.Traditionalmethodsrelysolelyontermfrequencyandinversedocumentfrequency,disregardingcriticalfactorslikedocumentlengthandtermpositions.Severaladvancedapproacheshavebeenproposed,includingthetermpositionentropy-basedmethodandthetermfrequencynormalizationmethod.However,thesemethodsstillhavelimitationsinaccuratelycapturingtheimportanceofkeywordsinwebdocuments.
3.ProposedMethod
Theproposedmethodcombinestermfrequency,inversedocumentfrequency,documentlength,andtermpositionstocalculatethekeywordweight.Initially,thetermfrequencyiscalculatedbycountingtheoccurrencesofakeywordwithinadocument.Next,theinversedocumentfrequencyiscomputedbyconsideringthefrequencyofthekeywordacrosstheentiredocumentcollection.Thedocumentlengthisthenconsideredtonormalizethekeywordweigh