微博信息检索系统研究与开发

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1、⑥硕士学位论文MASTER’STHESIS中，用户输入检索词，在经过查询扩展之后得到扩展词集，会得到与扩展词集相关的微博内容和微博用户；在推荐功能中，用户输入微博昵称，通过计算该昵称的微博用户兴趣模型概率分布与其他分布和社区内微博主题分布的相似程度，来得到与之兴趣相同的用户和可能感兴趣的微博内容。最后，对本文进行系统的总结，同时指出了下一步的研究重点。关键词：微博，信息检索，兴趣模型，社区发现，推荐AbstractWiththerapiddevelopmentoftheintemet,theinternetmediumhasbecomeoneoft

2、hemostimportantwaysforpeopletoaccessthelatestnews．Amongthese，microbloghasgotmoreandmoreattentionforitsconvenienceandreal-timesinceitWasborn．Everysecondmillionsofmicroblogsarebeingposted．Ithasbeenthekeyresearchfiledforindustryandacademiathathowtohandlethesebigdata．Inthemicroblo

3、gnetwork，therelationshipbetweenmicroblogusersjnstlikespeopleintherealworld．Theycanformvirtualcommunities．Inthespecifictimeperiod，peopleinthesamecommunityarecloselylinkedtoeachotherandtheyhavecommoninterests．WeCangetthemicroblogusersrelatedtothequerywordbygettingthecommunityint

4、erest．Wecangettheinterestedmicroblogusersandinterestingmicroblogbygettingtheuserinterests．Inthispaper,weproposeanewalgorithmtodetectcommunityinmicroblognetwork．Combingmicroblogcommunityinterestandmicrobloguserinterest，wecangettheusersrelatedtoquerywordandrecommendtheinterested

5、usersandmicroblog．WeCangetthemicroblogusershavingthesameinterests、Ⅳitllthequeryuserbycomputingthelevelsimilaritybetweenthemodelsofdifferentpeople’Sinterest．Bycomputingthelevelsimilaritybetweenthemodelofpeople’Sinterestsmodelandthetopicmodelofmicroblogs，weCallgetmicroblogsthatt

6、hequeryusermaybehasinterestin．ThispaperusestheLucenepackagetoretrievemicroblogs．Onthebaseofqueryexpansion,itCangetbetterperformance．Thispaperincludesthefollowingwork：Firstly,proposeanewalgorithmnamedLabel—-Influence·-Algorithm(LIA)todetectcommunitiesinmicroblognetworks．TheLIAc

7、onsiderstherelationshipbetweenthesepeopleinthesocialnetworkthatifmostofthepeople’Sfriendsareinacommunity,wecanbelievethatheCanbeinthesamecommunitytoagreatextent．TheLIAalgorithmalsoconsiderstheinfluenceofallusersinmicroblognetworkonthebaseofSociologyacademic．Thenumberofmicroblo

8、gfollowerscannotconformtotheactualsituation，andwemustconsider