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...

詳細記述

書誌詳細

第一著者:	YANG Lin,GU Junhua,GUAN Lei
フォーマット:	Artigo
言語:	Inglês
出版事項:	Editorial Office of Computer Engineering 2018-11-01
シリーズ:	Jisuanji gongcheng
主題:	tag recommendation|data sparseness|tensor construction|tensor decomposition|penalty mechanism|stochastic gradient descent
オンライン･アクセス:	https://www.ecice06.com/fileup/1000-3428/PDF/1811300.pdf
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!