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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	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)  |  收藏  |  浏览/下载：212/0  |  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 Adobe PDF(4751Kb)  |  收藏  |  浏览/下载：142/0  |  提交时间：2019/06/24 Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron
	Randomized latent factor model for high-dimensional and sparse matrices from industrial applications 会议论文 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018, Zhuhai, China, March 27, 2018 - March 29, 2018 作者:  Chen, Jia;  Luo, Xin Adobe PDF(5259Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2019/06/25
	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：414/0  |  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：426/0  |  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：101/0  |  提交时间：2018/03/16
	Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender 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:  Yuan, Ye;  Luo, Xin;  Shang, Ming-Sheng;  Cai, Xin-Yi Adobe PDF(717Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2018/03/16
	Performance of latent factor models with extended linear biases 期刊论文 Knowledge-Based Systems, 2017, 卷号: 123, 页码: 128-136 作者:  Chen, Jia;  Luo, Xin;  Yuan, Ye;  Shang, Mingsheng;  Ming, Zhong;  Xiong, Zhang Adobe PDF(2755Kb)  |  收藏  |  浏览/下载：96/0  |  提交时间：2018/03/16
	Piecewise two-dimensional normal cloud representation for time-series data mining 期刊论文 INFORMATION SCIENCES, 2016, 卷号: 374, 页码: 32-50 作者:  Deng, Weihui;  Wang, Guoyin;  Xu, Ji Adobe PDF(2540Kb)  |  收藏  |  浏览/下载：117/0  |  提交时间：2018/03/15 Two-dimensional Normal Cloud  Representation  Dimensionality Reduction  Similarity Measure  Cloud Model  Time-series Data Mining
	A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices 期刊论文 IEEE ACCESS, 2016, 卷号: 4, 页码: 2649-2655 作者:  Luo, Xin;  Zhou, Mengchu;  Shang, Mingsheng;  Li, Shuai;  Xia, Yunni Adobe PDF(9487Kb)  |  收藏  |  浏览/下载：875/1  |  提交时间：2018/03/15 Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system