基于CSCW的信息檢索技術(shù)應(yīng)用研究.pdf

1、廣東工業(yè)大學(xué)碩士學(xué)位論文基于CSCW的信息檢索技術(shù)應(yīng)用研究姓名：蔣明亮申請學(xué)位級別：碩士專業(yè)：計算機應(yīng)用技術(shù)指導(dǎo)教師：傅秀芬20070501廣東1業(yè)人學(xué)r學(xué)頌學(xué)位論文ABSTRACTWiththeincreasingofInteractn舯ucesitbecomesmoreandmoredifficultforpeopletoobtaintheinformationtheyneeded，andthiscausethephenomenon

2、of”gettinglostininformation”and”informationoverload”Peopleurgentlyneedhigh—performanceinformationretrievaltechnology(珉∞tomeetthe蓼owingdemandforinformationthatresultsintherapiddevelopmentoftheIRTandmakeitbecomeoneoftheres

3、earchhotspotsVerymanyfactors啪affecttheperformanceofaninformationretrievalsystem(mS)，andthemostimportantistheinformationretrievalmodelHowtounifywithuserrelevantfeedbacktechnologytoimprovetheperformanceofallIRShasbeenthere

4、searchtopicofmanyscholars，anditsmainthoughtisthehighlyeffectiveinformationretrievalsurelyreliesonthecorrectuserfeedbackButdependingonthesingleusertogetthecorrectfeedbackhasalotoflimitationtotheimprovementofperformance，wh

5、ileusingthemultiusercollaborativeworkmethodtogettheeerreetfeedbackismorereasonable，anditiseasiertoconstructgoodqueryexpressiontoimprovetheperformanceThepaperfirstlyanalyzedthepresentresearchingstatusoftheIRTdiscussedthre

6、eessentialfactorsandkeytechnologiesofCSCW，andresearchedthreeclassicinformationretrievalmodels，userrelevancefeedbacktechnologyandresultmergingalgorithmsSecondly，aimingatexistingproblemsofRsuchaslowaccuracylowratesofinform

7、ationoove珀geandbadefficiencyetecombinedwithCSCW，userrelevancefeedbacktechnologyandmeta—searchtechnology，weputforwardacollaborativefeedbackinformationretrievalmodelOnthisbasis，thepapercarriedontheanalysisandtheresearchtot

8、hedesignofcollaborativeIRS，anddiscussedtheframeworkofIRSbasedontheCSCWThissystemtakemessageprimitivebasedcommunicationmechanismasthefoundationofcollaborativeworkappliescollaborativefeedbackinformationretrievalmodeltothem