中国科学院重庆绿色智能技术研究院机构知识库

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	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：82/0  |  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
	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 Adobe PDF(4751Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2019/06/24 Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron
	An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文 IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022 作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng Adobe PDF(805Kb)  |  收藏  |  浏览/下载：416/0  |  提交时间：2019/06/26
	Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107 作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng Adobe PDF(803Kb)  |  收藏  |  浏览/下载：428/0  |  提交时间：2018/03/05 Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network
	Empirical analysis of collaborative filtering-based recommenders in temporally evolving systems 会议论文 14th IEEE International Conference on Networking, Sensing and Control, ICNSC 2017, Calabria, Italy, May 16, 2017 - May 18, 2017 作者:  Shi, Xiao-Yu;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi Adobe PDF(752Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2018/03/16