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PMUS-HOSGD tensor decomposition method and its application in tag recommendation

The current label recommended system uses tensors to store “user-resource-label” three-dimensional data,mining the potential semantic association among the three.In order to solve the sparseness problem of three-dimensional data and avoid the data distortion caused by the tensor filling process,this...

Täydet tiedot

Tallennettuna:
Päätekijä: YANG Lin,GU Junhua,GUAN Lei
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Editorial Office of Computer Engineering 2018-11-01
Sarja:Jisuanji gongcheng
Aiheet:
tag recommendation|data sparseness|tensor construction|tensor decomposition|penalty mechanism|stochastic gradient descent
Linkit:https://www.ecice06.com/fileup/1000-3428/PDF/1811300.pdf
Tagit: Lisää tagi
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