推荐系统技术:矩阵与张量分解
AbstractRepresentingdatainlowerdimensionalspaceshasbeenusedextensivelyinmanydisciplinessuchasnaturallanguageandimageprocessing,datamining,andinformationretrieval.Recommendersystemsdealwithchallengingissuessuchasscalability,noise,andsparsityandthus,matrixandtensorfactorizationtechniquesapp
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