PDF-CollaborativeFilteringforImplicitFeedbackDatasetsYifanHuAT&TLabs

Author : karlyn-bohler | Published Date : 2017-01-11

WorkdonewhileauthorwasatATTLabs

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CollaborativeFilteringforImplicitFeedbackDatasetsYifanHuAT&TLabs: Transcript

WorkdonewhileauthorwasatATTLabs. ch mcaninituberlinde dkosticimdeaorg These authors contributed equally to this work ABSTRACT Tolerating and recovering from link and switch failures are fundamental requirements of most networks includ ing SoftwareDe64257ned Networks SDNs However ins ThisworkwasdoneaspartofasummerinternshipatAT&TLabs-Research.Permissiontomakedigitalorhardcopiesofallorpartofthisworkforpersonalorclassroomuseisgrantedwithoutfeeprovidedthatcopiesarenotmadeordistribut ulatethemariatedistributionofthelargerdataofthethesumofthewtsequalsthenberofelementsintheoriginaldataset.AtheorybasedonaTylorseriesximationtothelikelihoodfunctionsuggeststhatximationstobesmoothmodella 68 65 64 63 62 72 67 66 70 61 69 71 WorkdonewhiletheauthorswereatAT&TLabs-Research.ThisworkislicensedundertheCreativeCommonsAttribution SanjoyDasguptaAT&TLabs Revisedversion,October15th2012. 1IntroductionAlmostalloftheearlyworkonLearningSystemsfocusedononlinealgo-rithms(Hebb,1949)(Rosenblatt,1957)(WidrowandHo,1960)(Amari,1967)(Kohonen,1982).Intheseearlyday

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