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1、202IEEETRANSACTIONSONKNOWLEDGEANDDATAENGINEERING,VOL.20,NO.2,FEBRUARY2008AWebUsageMiningFrameworkforMiningEvolvingUserProfilesinDynamicWebSitesOlfaNasraoui,Member,IEEE,MahaSoliman,Member,IEEE,EsinSaka,Member,IEEE,AntonioBadia,Member,IEEE,andRichardGermainAbstract—Inthispaper,weprese
2、ntacompleteframeworkandfindingsinminingWebusagepatternsfromWeblogfilesofarealWebsitethathasallthechallengingaspectsofreal-lifeWebusagemining,includingevolvinguserprofilesandexternaldatadescribinganontologyoftheWebcontent.EventhoughtheWebsiteunderstudyispartofanonprofitorganizationth
3、atdoesnot“sell”anyproducts,itwascrucialtounderstand“who”theuserswere,“what”theylookedat,and“howtheirinterestschangedwithtime,”allofwhichareimportantquestionsinCustomerRelationshipManagement(CRM).Hence,wepresentanapproachfordiscoveringandtrackingevolvinguserprofiles.Wealsodescribehow
4、thediscovereduserprofilescanbeenrichedwithexplicitinformationneedthatisinferredfromsearchqueriesextractedfromWeblogdata.Profilesarealsoenrichedwithotherdomain-specificinformationfacetsthatgiveapanoramicviewofthediscoveredmassusagemodes.Anobjectivevalidationstrategyisalsousedtoassess
5、thequalityoftheminedprofiles,inparticulartheiradaptabilityinthefaceofevolvinguserbehavior.IndexTerms—Miningevolvingclickstreams,userprofiles,Webusagemining,semanticWebmining.Ç1INTRODUCTIONCUSTOMERRelationshipManagement(CRM)canusedatausagemining,therehavebeennodetailedstudiespresent-
6、fromwithinandoutsideanorganizationtoallowaningafullyintegratedapproachtominearealWebsitewithunderstandingofitscustomersonanindividualbasisoronthechallengingcharacteristicsoftoday’sWebsites,suchasagroupbasissuchasbyformingcustomerprofiles.Anevolvingprofiles,dynamiccontent,andtheavail
7、abilityofimprovedunderstandingofthecustomer’shabits,needs,taxonomyordatabasesinadditiontoWeblogs.andinterestscanallowthebusinesstoprofitby,forInthispaper,wepresentacompleteframeworkandainstance,“crossselling”orsellingitemsrelatedtotheonessummaryofourexperienceinminingWebusagepattern
8、sthatthecustomerwan
