中国科学院机构知识库网格系统: 检索

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	A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文 OAI收割 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 \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2021/08/20 Big data deep model high-dimensional and sparse (HiDS) matrix latent factor (LF) analysis recommender system (RS)
	An L-1-and-L-2-Norm-Oriented Latent Factor Model for Recommender Systems 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14 作者: Wu, Di; Shang, Mingsheng; Luo, Xin; Wang, Zidong \| 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/08/22 High-dimensional and sparse (HiDS) matrix latent factor (LF) analysis L-1 norm L-2 norm recommender system (RS)
	An alpha -beta -Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences 期刊论文 OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13 作者: Shang, Mingsheng; Yuan, Ye; Luo, Xin; Zhou, MengChu \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/08/22 Computational modeling Sparse matrices Convergence Data models Predictive models Linear programming Euclidean distance -divergence big data convergence analysis high-dimensional and sparse (HiDS) data momentum machine learning missing data estimation non-negative latent factor analysis (NLFA) recommender system (RS)
	Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning 期刊论文 OAI收割 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：11/0 \| 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)