recommender system tutorial .pdf

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1、Tutorial:RecommenderSystemsInternationalJointConferenceonArtificialIntelligenceBeijing,August4,2013DietmarJannachTUDortmundGerhardFriedrichAlpen‐AdriaUniversitätKlagenfurt-1--2-©DietmarJannach,MarkusZankerandGerhardFriedrichRecommenderSystemsApplicationareas-3-©DietmarJannach,Ma

2、rkusZankerandGerhardFriedrichIntheSocialWeb-4-©DietmarJannach,MarkusZankerandGerhardFriedrichEvenmore…Personalizedsearch"Computationaladvertising"-5-©DietmarJannach,MarkusZankerandGerhardFriedrichAboutthespeakersGerhardFriedrich–ProfessoratUniversityKlagenfurt,AustriaDietmarJ

3、annach–ProfessoratTUDortmund,GermanyResearchbackgroundandinterests–ApplicationofIntelligentSystemstechnologyinbusinessRecommendersystemsimplementation&evaluationProductconfigurationsystemsWebminingOperationsresearch-6-©DietmarJannach,MarkusZankerandGerhardFriedrichAgendaWha

4、tarerecommendersystemsfor?–IntroductionHowdotheywork(PartI)?–CollaborativeFilteringHowtomeasuretheirsuccess?–EvaluationtechniquesHowdotheywork(PartII)?–Content‐basedFiltering–Knowledge‐BasedRecommendations–HybridizationStrategiesAdvancedtopics–Explanations–Humandecisionmaking

5、-7-©DietmarJannach,MarkusZankerandGerhardFriedrich-8-©DietmarJannach,MarkusZankerandGerhardFriedrichWhyusingRecommenderSystems?Valueforthecustomer–Findthingsthatareinteresting–Narrowdownthesetofchoices–Helpmeexplorethespaceofoptions–Discovernewthings–Entertainment–…Valueforthep

6、rovider–Additionalandprobablyuniquepersonalizedserviceforthecustomer–Increasetrustandcustomerloyalty–Increasesales,clicktroughrates,conversionetc.–Opportunitiesforpromotion,persuasion–Obtainmoreknowledgeaboutcustomers–…-9-©DietmarJannach,MarkusZankerandGerhardFriedrichReal‐worldc

7、heckMythsfromindustry–Amazon.comgeneratesXpercentoftheirsalesthroughtherecommendationlists(30

8、iendrecommendationandadpersonalizationon