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中国科学院重庆绿色智能技术研究院机构知识库
KMS Chongqing Institute of Green and Intelligent Technology, CAS
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共6条,第1-6条
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资助项目:Chongqing Overseas Scholars Innovation Program[cx2017012]
资助项目:Chongqing Research Program of Technology Innovation and Application[cstc2017zdcy-zdyf0554]
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Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
作者:
Xin, Luo
;
Yuan, Ye
;
Zhou, MengChu
;
Liu, Zhigang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:138/0
  |  
提交时间:2021/08/20
beta-divergence
big data
high-dimensional and sparse (HiDS) matrix
industrial application
learning algorithm
non-negative latent factor (NLF) analysis
recommender system
Reliability-Aware and Deadline-Constrained Mobile Service Composition Over Opportunistic Networks
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1012-1025
作者:
Peng, Qinglan
;
Xia, Yunni
;
Zhou, MengChu
;
Luo, Xin
;
Wang, Shu
;
Wang, Yuandou
;
Wu, Chunrong
;
Pang, Shanchen
;
Lin, Mingwei
收藏
  |  
浏览/下载:183/0
  |  
提交时间:2021/08/20
Reliability
Mobile handsets
Mobile applications
Device-to-device communication
Cloud computing
Service computing
Quality of service
Intelligent optimization
Krill-Herd algorithm
mobile computing
mobile opportunistic network
mobile service composition
service reliability
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:
Wu, Di
;
Luo, Xin
;
Shang, Mingsheng
;
He, Yi
;
Wang, Guoyin
;
Zhou, MengChu
收藏
  |  
浏览/下载:215/0
  |  
提交时间:2021/08/20
Big data
deep model
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
recommender system (RS)
Latent Factor-Based Recommenders Relying on Extended Stochastic Gradient Descent Algorithms
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 2, 页码: 916-926
作者:
Luo, Xin
;
Wang, Dexian
;
Zhou, MengChu
;
Yuan, Huaqiang
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  |  
浏览/下载:74/0
  |  
提交时间:2021/03/17
Big data
bi-linear
collaborative filtering (CF)
high-dimensional and sparse (HiDS) matrix
industry
latent factor (LF) analysis
missing data
recommender system
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Hu, Lun
;
Shang, Mingsheng
收藏
  |  
浏览/下载:137/0
  |  
提交时间:2020/08/24
Computational modeling
Data models
Sparse matrices
Linear programming
Training
Convergence
Analytical models
Alternating-direction-method of multipliers
high-dimensional and sparse matrix
industrial application
non-negative latent factor analysis
recommender system
Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1798-1809
作者:
Luo, Xin
;
Wu, Hao
;
Yuan, Huaqiang
;
Zhou, MengChu
收藏
  |  
浏览/下载:385/0
  |  
提交时间:2020/08/24
Quality of service
Hidden Markov models
Data models
Training
Web services
Time factors
Latent factor analysis (LFA)
latent factorization of tensor
learning temporal pattern
linear bias (LB)
non-negative latent factorization of tensor
non-negativity constraint
quality-of-service (QoS) prediction