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1、WhomtoMention:ExpandtheDiffusionofTweetsby@RecommendationonMicro-bloggingSystemsBeidouWang†,CanWang†,JiajunBu†,ChunChen†,WeiVivianZhang,DengCai‡,XiaofeiHe‡†ZhejiangProvincialKeyLaboratoryofServiceRobot,CollegeofComputerScience,ZhejiangUniversity,ChinaMicrosoftCorporation,Redmond,WA,USA‡StateKeyLa
2、bofCAD&CG,CollegeofComputerScience,ZhejiangUniversity,China†{beidou,wcan,bjj,chenc}@zju.edu.cn,wzha@microsoft.com,‡{dengcai,xiaofeihe}@cad.zju.edu.cnABSTRACTnews,personalupdatesandspontaneousideas.InMicro-bloggingsystemslikeTwitter,userstweetaboutanytop-Nowadays,micro-bloggingsystemslikeTwitterhav
3、ebecomeicswithinthe140-characterlimitandfollowotherstore-oneofthemostimportantwaysforinformationsharing.Inceivetheirtweets.Furthermore,withretweeting(forwardTwitter,auserpostsamessage(tweet)andtheotherscanatweet),informationcanbeeffectivelyrelayedbeyondad-forwardthemessage(retweet).Mentionisanewfeat
4、ureinjacentneighbors,virtuallygivingeveryuserthepowertomicro-bloggingsystems.Bymentioningusersinatweet,spreadinformationbroadly.theywillreceivenotificationsandtheirpossibleretweetsHowever,recentstudies[2][31][37]showthatthediffusionmayhelptoinitiatelargecascadediffusionofthetweet.poweroftweetsfromdiffe
5、rentusersvariessignificantly:0.05Toenhanceatweet’sdiffusionbyfindingtherightpersonspercentofTwitterusersattractalmost50percentofalltomention,weproposeinthispaperanovelrecommenda-attentionwithinTwitterandthespreadofatweetfromtionschemenamedaswhom-to-mention.Specifically,weanordinaryuserisratherlimited,w
6、ithanaverageretweetpresentanin-depthstudyofmentionmechanismandpro-rateof0.11.Thissuggestsaverylimiteddiffusionformostposearecommendationschemetosolvetheessentialques-tweets.tionofwhomtomentioninatweet.Inthispaper,whom-to-Fortunately,asanewfeatureinMicro-bloggingsystems,mentionisformulatedasarankingp
7、roblemandwetrytoMentioncanhelpordinaryuserstoimprovethevisibilityaddressseveralnewchallengeswhicharenotwellstudiedinoftheirtweetsandgobeyondtheirimmediatereachinso-thetraditionalinformationretrievaltasks.By