a multi-agent system for adaptive personalized services in pdr

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1、西北工业大学硕士学位论文AMulti-AgentSystemforAdaptivePersonalizedServicesinPDR姓名：於志文申请学位级别：硕士专业：计算机应用技术指导教师：周兴社20030301AbstractDigitaltelevisionandtheemergingcommunicationtechnologieshavecreatedanoverabundanceofprogramsandinformationavailablefromwhicheachconsumercallchoose．Theconsumer

2、willneednewsolutionsenablingsmartandactivedecisionmakingoverviewingpreferences．TheTV-AnytimeForumseekstodevelopspecificationstoenableaudio．．visualandOtherservicesbasedonmass—markethighvolumedigitalstorageinconsumerplatforms．ThecentralelementofTv_AnytimeiSPersonalDigitalRec

3、order(PDR)，whichisakindofpersonaldigitalmediastoragedevicethatiSwidelyexpectedtobecomeanextremelypopularconsumerelectronicdeviceforDTVinthenearfuture．Giventheexponentialincreaseoncontentavailablefromserviceprovider(broadcaster，Internet，etc)，softwareagentshavebeengivenaloto

4、fattentionlately．Agentshavethedistinguishingabilitytoautomaterepetitiveandtimeconsumingtasks，includinglearningtheuser’Spreference，filteringandrecommendingcontentinthePDR．Thisthesisproposesamulti—agentsystemforadaptiveandpersonalizedservicesintheTv_Anytimeenvironment．Thesys

5、temisdesignedtoassistusersbyadaptingtotheirpersonalpreferences．Thearchitectureofthemulti—agentsystemwaspresented．Andthedetailsoftheseagents，thatis，filteringagent，recommendationagent，profilingagent，interfaceagent，storagemanagementagent，reportagent，andprivacyprotectionagenta

6、redescribed，ThemaincontributionofthisthesisiStopresentthearchitectureofthemulti—agentsystem．Toprovethecontributionsmadeinthisthesisandtoimplementthesystem，wehaveanalyzedanddesignedseveralkeytechnicalpointsofthesystemsuchas：XML．basedmetadatarepresentation，VSM(VectorSpaceMod

7、el)basedfeaturerepresentationandsimilaritymeasurementmethod，preferenceknowledgelearningandupdatemethods，andKQML—basedinter-agentcommunication．ThemetadatarepresentationiSdefinedandimplementedinXML．whichcomplieswithTV-Anytimespecificationsingeneral．Thevectorspacemodelforcont

8、entfeaturerepresentationhasbeengeneralizedforuse，Thedistancemetricandcosinecorrelationfor