基于用户建模的个性化微博推荐研究

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1、万方数据AbstractWiththeadventoftheboomingmobileInternetandWeb2．0era,socialnetworkproductssuchasTwitterhasgivenordinaryusermorefreedomandspacetocreatecontent．Ordinaryuserhasbeenplayingamoreimportantroleinthevirtualnetwork．Andthenewgenerationofsocialplatformhasbecometheprimarysourceofinformation．Howeverd

2、uetotherapidgrowthofdata,howtoquicklygetinformationinneedintheoceanofinformationhasbecomeaseriousproblemforpeople．Ittakesmoretimeandeffortthaneverwhenpeoplesearchforinformationwanted．Thereforeresearchesonhowtohelpusersquicklyandeasilyaccessthetargetinformationinnewgenerationofsocialnetworkplatforms

3、ismaingoalofthispaper．Personalizedrecommendationisafascinatingsolutiontomeetinformationneedsofindividualusersamongmassdata．Atpresent，researchesofpersonalizedI．econHnendationonEnglishsocialplatformhavemadegreatachievementswhilethatonChinesesocialplatformisstillintheearlystage．It’Sagreatchallengewhen

4、tomakepersonalizedrecommendationduetoChinesegrammarandcomplexstructureofsocialplatform．Thispaperwillproposeamachinelearning-basedpersonalizedrecommendationmodeltoalleviateinformationoverloadandinformationshortageforusersofSinaMicroblog，whichisthelargestandwell-knownplatforminChina．Thispaperfirstmak

5、esabriefsurveyofpersonalizedrecommendationonEnglishplatformandintroducesrelatedworkonmachinelearningandinformationretrieval．Adetaileddescriptionofpersonalizedrecommendationbasedonsupervisedlearningalgorithmispresentednext，whichrepresentsthepreferenceofuserstowardsthecontentofmicroblog．Finallywecond

6、uctatestonrealdatasets，whichverifythatthepersonalizedrecommendationmodelonmicroblogproposedinthispaperhasimprovedtheuserexperiencebyprovidingamoreaccurateandsatisfyingblogssortforusers．KeyWords：socialnetwork；microblog；personalizedrecommendation；machineleaming；usermodelingII万方数据目录摘要⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯I

7、Abstract⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．工工目录⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．III第一章绪论⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．1第一节研究背景与意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．i第二节研究现状和主要工作⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯31．2．I微博推荐研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．3i．2．2研究工作⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．⋯⋯6第三节论文组织结构⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯7第二章相关研究基础⋯⋯