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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8条,第1-8条
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资助项目:Chongqing Overseas Scholars Innovation Program[cx2018011]
资助项目:Chongqing Research Program of Technology Innovation and Application[cstc2017rgzn-zdyfX0020]
资助项目:National Natural Science Foundation of China[61772493]
文献类型:期刊论文
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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
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:
Luo, Xin
;
Wang, Zidong
;
Shang, Mingsheng
收藏
  |  
浏览/下载:90/0
  |  
提交时间:2021/08/20
High-dimensional and sparse (HiDS) data
industrial application
instance-frequency
non-negative latent factor analysis (NLFA)
recommender system
regularization
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2021, 卷号: 7, 期号: 1, 页码: 227-240
作者:
Luo, Xin
;
Zhou, Mengchu
;
Li, Shuai
;
Wu, Di
;
Liu, Zhigang
;
Shang, Mingsheng
收藏
  |  
浏览/下载:160/0
  |  
提交时间:2021/05/17
Data models
Training
Sparse matrices
Recommender systems
Computational modeling
Big Data
Scalability
Non-negative latent factor analysis
non-negativity
latent factor analysis
unconstrained optimization
high-dimensional and sparse matrix
collaborative filtering
recommender system
big data
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620
作者:
Luo, Xin
;
Liu, Zhigang
;
Li, Shuai
;
Shang, Mingsheng
;
Wang, Zidong
收藏
  |  
浏览/下载:109/0
  |  
提交时间:2021/03/17
Big data
high-dimensional and sparse (HiDS) matrix
latent factor (LF) analysis
missing data estimation
non-negative LF (NLF) model
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
An adaptive latent factor model via particle swarm optimization
期刊论文
NEUROCOMPUTING, 2019, 卷号: 369, 页码: 176-184
作者:
Wang, Qingxian
;
Chen, Sili
;
Luo, Xin
收藏
  |  
浏览/下载:105/0
  |  
提交时间:2020/08/24
Latent factor analysis
Particle swarm optimization
High-dimensional and sparse matrix
Stochastic gradient descent
Self-adaptive model
Elastic-net regularized latent factor analysis-based models for recommender systems
期刊论文
NEUROCOMPUTING, 2019, 卷号: 329, 页码: 66-74
作者:
Wang, Dexian
;
Chen, Yanbin
;
Guo, Junxiao
;
Shi, Xiaoyu
;
He, Chunlin
;
Luo, Xin
;
Yuan, Huaqiang
Adobe PDF(1965Kb)
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收藏
  |  
浏览/下载:229/0
  |  
提交时间:2019/01/17
Big data
Recommender systems
Collaborative filtering
Latent factor analysis
Elastic-net
Regularization
Latent factor distribution