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重庆绿色智能技术研... [25]

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	Robust Latent Factor Analysis for Precise Representation of High-Dimensional and Sparse Data 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 4, 页码: 796-805 作者: Wu, Di; Luo, Xin 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/05/17 High-dimensional and sparse matrix L-1-norm L-2-norm latent factor model recommender system smooth L-1-norm
	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 收藏 \| 浏览/下载：27/0 \| 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
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411 作者: Luo, Xin; Qin, Wen; Dong, Ani; Sedraoui, Khaled; Zhou, MengChu 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/03/17 Big data industrial application industrial data latent factor analysis machine learning parallel algorithm recommender system (RS) stochastic gradient descent (SGD)
	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 收藏 \| 浏览/下载：20/0 \| 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
	Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems 期刊论文 NEUROCOMPUTING, 2021, 卷号: 421, 页码: 316-328 作者: Chen, Jiufang; Yuan, Ye; Ruan, Tao; Chen, Jia; Luo, Xin 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/02/24 Big Data Intelligent Computation Latent Factor Analysis Evolutionary Computing Learning Algorithm High-dimensional and Sparse Data Parameter Free
	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：17/0 \| 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：8/0 \| 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
	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 收藏 \| 浏览/下载：53/0 \| 提交时间：2019/01/17 Big data Recommender systems Collaborative filtering Latent factor analysis Elastic-net Regularization Latent factor distribution
	DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198 作者: Wang, Qingxian; Peng, Binbin; Shi, Xiaoyu; Shang, Tianqi; Shang, Mingsheng 收藏 \| 浏览/下载：71/0 \| 提交时间：2019/06/24 Recommender systems collaborative filtering rating prediction denoising autoencoders multi layered perceptron
	A parallelized, momentum-incorporated stochastic gradient descent scheme for latent factor analysis on high-dimensional and sparse matrices from recommender systems 会议论文 Bari, Italy, October 6, 2019 - October 9, 2019 作者: Qin, Wen; Wu, Hao; Lai, Qingkuan; Wang, Chaobin 收藏 \| 浏览/下载：0/0 \| 提交时间：2020/02/18

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