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Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications

Mingsheng Shang Xin Luo Zhigang Liu Jia Chen Ye Yuan MengChu Zhou

自动化学报（英文版）2019，Vol.6Issue(1)：131-141,11.

自动化学报（英文版）2019，Vol.6Issue(1)：131-141,11.DOI:10.1109/JAS.2018.7511189

Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications

Mingsheng Shang ¹Xin Luo ¹Zhigang Liu ¹Jia Chen ²Ye Yuan ¹MengChu Zhou³

作者信息

1. Chongqing Engineering Research Center of Big Data Application for Smart Cities, and Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
2. School of Computer Science and Engineering, Beihang University, Beijing 100191, China
3. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102 USA
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摘要

关键词

Big data/high-dimensional and sparse matrix/latent factor analysis/latent factor model/randomized learning

Key words

Big data/high-dimensional and sparse matrix/latent factor analysis/latent factor model/randomized learning

引用本文复制引用

Mingsheng Shang,Xin Luo,Zhigang Liu,Jia Chen,Ye Yuan,MengChu Zhou..Randomized Latent Factor Model for High-dimensional and Sparse Matrices from Industrial Applications[J].自动化学报（英文版）,2019,6(1):131-141,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61772493 （）

91646114),Chongqing research program of technology innovation and application (cstc2017rgzn-zdyfX0020),and in part by the Pioneer Hundred Talents Program of Chinese Academy of Sciences. （cstc2017rgzn-zdyfX0020）

自动化学报（英文版）

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ISSN：2329-9266

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