Actively Predicting Diverse Search Intent from User Browsing Behaviors

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1、WWW2010•FullPaperApril26-30•Raleigh•NC•USAActivelyPredictingDiverseSearchIntentfromUser∗BrowsingBehaviorsZhicongChengBinGaoTie-YanLiuSchoolofSoftwareandMicrosoftResearchAsiaMicrosoftResearchAsiaMicroelectronics4F,SigmaCenter,No.49,4F,SigmaCenter,No.49,PekingUniversityZhichunRoadZhichun

2、RoadBeijing,100871,P.R.ChinaBeijing,100190,P.R.ChinaBeijing,100190,P.R.Chinaczc0316@live.combingao@microsoft.comtyliu@microsoft.comABSTRACT1.INTRODUCTIONThispaperisconcernedwithactivelypredictingsearchin-UserintentunderstandinghasbecomeahottopicinWebtentfromuserbrowsingbehaviordata.Inr

3、ecentyears,greatsearchanddatamining,andcommercialsearchengineshaveattentionhasbeenpaidtopredictingusersearchintent.realizeditsimportanceforprovidingbettersearchexperi-1However,thepredictionwasmostlypassivebecauseitwasences.Forexample,Google,Yahoo!,Bing,andAskallperformedonlyafteruserss

4、ubmittedtheirqueriestosearchprovidequerysuggestion[1,3,13]asapredictionofuserengines.Itisnotconsideredwhyusersissuedthesequeries,searchintent.Whilesuchatechniquehasachievedcertainandwhattriggeredtheirinformationneeds.Accordingtosuccess,italsohasobviouslimitations,someofwhichareourstudy

5、,manyinformationneedsofuserswereactuallylistedasbelow.triggeredbywhattheyhavebrowsed.Thatis,afterread-•Thepredictionwasconductedinapassivemanner,ingapage,ifauserfoundsomethinginterestingorunclear,inthesensethatitwasperformedonlyafterusershe/shemighthavetheintenttoobtainfurtherinformati

6、onsubmittedtheirqueriestosearchengines.Notethatandaccordinglyformulateasearchquery.Activelypredict-Webusersspendmostoftheirtimenotonsearch,butingsuchsearchintentcanbenefitbothsearchenginesandinsteadonbrowsing,authoring,andsoon.Thereforetheirusers.Inthispaper,weproposeaseriesoftechnologi

7、esinmostcases,whenusershavelatentsearchintents,tofulfillthistask.First,weextractallthequeriesthatuserssearchenginescannotmakemeaningfulpredictions.Inissuedafterreadingagivenpagefromuserbrowsingbehav-thisregard,theimpactofpassiveintentpredictiononiordata.Second,welearnamodeltoeffectivel