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1、西安建筑科技大学硕士学位论文PersonalizedMicro-bloginformationrecommendationsystembasedontrustrelationshipMajor:ComputerTechnologyName:QiaoWeiInstructor:Prof.DongLiliAbstractWiththeadventofWeb2.0era,socialnetworkingservicedevelopedrapidly,asanewsocialnetworkplatform,microbloggingattractslotsofpeoplebyitsdi
2、stinctiveinformationdisseminationpattern,changesthewaythatpeoplegetinformationandthelifestyle.Whilewiththerapidlygrowthofusernumbersandtheamountofinformation,itbecomesharderthatpeoplewantstofindsomethinginteresting.Howresolvethe'overload'problemandimprovetheinformation'sutilization,hasbecome
3、anurgentquestionsthatneedtobeaddressed.Basedontheanalyzesofrelationshipbetweenuserandminingmicrobloggingcontentinformation,thispaperconductstheinformationrecommendation,thespecificresearchworkincludedcollectingandpreprocessingofmicrobloggingdata,proposedamicroblogginginformationrecommendatio
4、nalgorithmbasedontrustrelationships,thismicroblogginginformationrecommendationsystemcontainedthreemainsections.Inthecollectionandpre-treatmentpartofmicrobloggingdata,thispaperfirstlyanalysistheTencentmicrobloggingdata.Theonthisbasis,giventhespecificsolutionsaboutcollectionofmicrobloggingdata
5、,completedthedatacollectionsubsystem.Finally,accordingtothealgorithmneeds,thispapermadethecorrespondingdatapreprocessing.Onthebasisofthedatacollection,thispaperanalyzesthedataofcustomers'relationship,buildsuptheusertrustcomputingmodeltocalculatethemicroblogginguserstrust.Thencomparedcalculat
6、ionmodelsoftextsimilaritywiththemainmethod,paperstartedfromthestatisticallanguagemodel,basedonTF-IDFalgorithmto万方数据西安建筑科技大学硕士学位论文calculatethemicrobloggingtextsimilarity.Afteranalyzedanddiscussedaroundthecurrentmostwidelyusedrecommendationalgorithm,thispapercombinedwiththestructureandcontento
7、fthemicroblogging,learnedtheconceptoftrustandfamiliarityfrompsychologyandsociology,andpresentedamicrobloggingpersonalizedrecommendationalgorithm.Finally,throughtheexperimentsandanalysis,obtainedtheparametersofthealgorithm,confirmedthealgorithmbycom
