基于用戶行為的圖書(shū)館個(gè)性化信息服務(wù)研究.pdf

1、揚(yáng)州大學(xué)碩士學(xué)位論文基于用戶行為的圖書(shū)館個(gè)性化信息服務(wù)研究姓名：張煒申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)技術(shù)指導(dǎo)教師：李斌200911012揚(yáng)州大學(xué)碩士學(xué)位論文AbstractWiththerapiddevelopmentofinformationtechnologydigitallibraryhaschangedthetraditionalservicemodel，andaccumulatedalotofreadersbehaviordat

2、as，thesedatashideabundant、unknownandusefulknowledge，itisveryvaluabletothelibrarysactivepersonalizedservice，thesubjectresourcesconstructiondecisionmaking，andtheoperationmanagementoptimizationWiththediversityanddynamiccapa

3、bilityofreaderbehaviordigitallibrarydelevelopmenthasturnedintointegrationservicesofreadercentricanddemanddriven，theactivepersonalizedintelligentserviceisoneoftheimportantdevelopmentinthefutureSourgentlyrequirethelibrarys

4、ystemhasthefunctionofpersonalizedservicebaseonreadersbehavioranalysistotryforbroaderdevelopmentadvantagesoflibraryThispaperstudysclusteringandassociationrulesmininginallusiontothereaderbehaviordatasinthelibrarymanagement

5、system，combinetheminingtechnologyandthepersonalizedserviceoflibrarytoopenoutreader’SusingandinteresttotheresourcesoflibrarycollectionTheworkmainlyincludesthefollowing：1、CombinwiththereaderbehaviordatasinYangzhouUniversit

6、ylibrarymanagementsystem，studythecross—mininganalysistothebooks，readers，timethroughthetimeseriesmodel’Sstatisticalmethods；studythedynamicclusteringandFP—Growthimprovedalgorithmbasedonthebookclassificationconceptlayerstud

7、ytherelatedexperimentalmininganalysisthroughdataextraction，preprocessingandreadersborrowtransactiondatabases，discussestheapplicationofminingtechnologyinthelibrary’Spersonalizedservice2、Studycollaborativerecommendedtechno

8、logyanditsstrategybaseonthesimilarneighborUSerinthepersonalizedservicesystem，proposethecollaborativerecommendedmethodsbasedonuserresourcematrixandinterestsimilaruser；expoundthekeytechnologiesoftheUSerinterestmodelbuildin