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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,microblogginga
2、ttractslotsofpeoplebyitsdistinctiveinformationdisseminationpattern,changesthewaythatpeoplegetinformationandthelifestyle.Whilewiththerapidlygrowthofusernumbersandtheamountofinformation,itbecomesharderthatpeoplewantstofindsomethinginteresting.Howresolvethe'overload'pr
3、oblemandimprovetheinformation'sutilization,hasbecomeanurgentquestionsthatneedtobeaddressed.Basedontheanalyzesofrelationshipbetweenuserandminingmicrobloggingcontentinformation,thispaperconductstheinformationrecommendation,thespecificresearchworkincludedcollectingandp
4、reprocessingofmicrobloggingdata,proposedamicroblogginginformationrecommendationalgorithmbasedontrustrelationships,thismicroblogginginformationrecommendationsystemcontainedthreemainsections.Inthecollectionandpre-treatmentpartofmicrobloggingdata,thispaperfirstlyanalys
5、istheTencentmicrobloggingdata.Theonthisbasis,giventhespecificsolutionsaboutcollectionofmicrobloggingdata,completedthedatacollectionsubsystem.Finally,accordingtothealgorithmneeds,thispapermadethecorrespondingdatapreprocessing.Onthebasisofthedatacollection,thispaperan
6、alyzesthedataofcustomers'relationship,buildsuptheusertrustcomputingmodeltocalculatethemicroblogginguserstrust.Thencomparedcalculationmodelsoftextsimilaritywiththemainmethod,paperstartedfromthestatisticallanguagemodel,basedonTF-IDFalgorithmto万方数据西安建筑科技大学硕士学位论文calcula
7、tethemicrobloggingtextsimilarity.Afteranalyzedanddiscussedaroundthecurrentmostwidelyusedrecommendationalgorithm,thispapercombinedwiththestructureandcontentofthemicroblogging,learnedtheconceptoftrustandfamiliarityfrompsychologyandsociology,andpresentedamicrobloggingp
8、ersonalizedrecommendationalgorithm.Finally,throughtheexperimentsandanalysis,obtainedtheparametersofthealgorithm,confirmedthealgorithmbycom
