潜在上下文感知推荐.pptx

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1、Towardslatentcontext-awarerecommendationsystemsContext-awarerecommendersystem（CARS）Theareaofcontext-awarerecommendersystems(CARS)dealswithmodelingandpredictingusertastesandpreferencesbyincorporatingavailablecontextualinformationintotherecommendationpr

2、ocessasexplicitadditionalcategoriesofdata.衣服推荐系统美食推荐系统阅读推荐系统Maincontributionwesuggestseveralmethodsofextractinglatentcontextfromthedatacollectedfrommobiledevicesensors.weshowhowtoutilizetheselatentcontextsanddescribeanovelrecommendationtechniquethatus

3、eslatentcontextsandimprovestheaccuracyofstate-of-the-artCARS.Inordertoreducethedimensionality,wesuggestextractinglatentcontextswithtwounsupervisedtechniques:deeplearning(2)principalcomponentanalysis(PCA).extractinglatentcontextLatentcontextextraction

4、usingauto-encoderAnauto-encoderneuralnetworkisanunsupervisedlearningalgorithmthatappliesbackpropagation,settingthetargetvaluesasequaltotheinputsByusingadeepauto-encoder,thedeeplayersrevealthelong-termpatternsoftheuserthatcanbetranslatedtolatentcontext

5、.Latentcontextextractionusingprincipalcomponentanalysis(PCA)PCAisadimensionalreductionmethodthatusesanorthogonaltransformationtoconvertasetofobservationswithpossiblecorrelatedvariablesintoasetofnewuncorrelatedfeaturesRatingmodelThankyou!