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北京大学 [3]

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	A differentially private matrix factorization based on vector perturbation for recommender system 期刊论文 Neurocomputing, 2022, 卷号: 483, 页码: 32-41 作者: Ran, Xun; Wang, Yong; Zhang, Leo Yu; Ma, Jun 收藏 \| 浏览/下载：42/0 \| 提交时间：2022/04/21 Benchmarking Data privacy Matrix algebra Matrix factorization Sensitivity analysis Differential privacies Error accumulation Factorization techniques Matrix factorizations Multiple iterations Objective functions Privacy preservation Privacy protection User data Vector perturbation
	Disentangled Item Representation for Recommender Systems 期刊论文 Transactions on Intelligent Systems and Technology (TIST), 2021, 卷号: 0, 期号: 0, 页码: 0 作者: Cui Zeyu; Yu Feng; Wu Shu; Liu Qiang; Wang Liang 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/06/17 Representation learning Recommender systems Attribute disentangling
	Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017 作者: Song, Yan; Li, Ming; Luo, Xin; Yang, Guisong; Wang, Chongjing 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/08/24 Computational modeling Sparse matrices Biological system modeling Symmetric matrices Matrix decomposition Linear programming Convergence Big data data analysis latent factor nonnegativity sparse and large-scaled network symmetry triple-factorization undirected
	Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748 作者: Han, Jiayu; Zheng, Lei; Xu, Yuanbo; Zhang, Bangzuo; Zhuang, Fuzhen 收藏 \| 浏览/下载：7/0 \| 提交时间：2020/12/10 Adaptation models Recommender systems Feature extraction Computational modeling Predictive models Task analysis Adaptive systems Adaptive user preference model attention factor convolutional neural network (CNN) recommendation system
	MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation 期刊论文 IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 期号: no, 页码: no 作者: Qiang Cui; Shu Wu; Qiang Liu; Wen Zhong; Liang Wang 收藏 \| 浏览/下载：73/0 \| 提交时间：2019/05/09 Multi-view Sequential Recommendation Recurrent Neural Network Cold Start
	TruCom: Exploiting Domain-Specific Trust Networks for Multicategory Item Recommendation 期刊论文 IEEE SYSTEMS JOURNAL, 2017, 卷号: 11, 页码: 295-304 作者: Liu, Haifeng; Xia, Feng; Chen, Zhen; Asabere, Nana Yaw; Ma, Jianhua 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 Collaborative filtering (CF) item recommendation matrix factorization (MF) recommender system (RS) trust networks
	Five-Dimensional Seismic Reconstruction Using Parallel Square Matrix Factorization 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 页码: 2124-2135 作者: Gao, Jianjun; Cheng, Jinkun; Sacchi, Mauricio D. 收藏 \| 浏览/下载：4/0 \| 提交时间：2020/01/03 Low rank matrix factorization (MF) seismic data reconstruction square matrix tensor completion
	MSGD: A Novel Matrix Factorization Approach for Large-scale Collaborative Filtering Recommender Systems on GPUs 期刊论文 IEEE Transactions on Parallel and Distributed Systems, 2017, 页码: 1 作者: Hao Li; Kenli Li; An Jiyao; Keqin Li 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/31 Graphics processing units Recommender systems Sparse matrices Optimization Scalability Acceleration Collaboration Collaborative filtering (CF) CUDA parallelization algorithm Matrix factorization (MF) Multi-GPU implementation Stochastic gradient descent (SGD)
	Collaborative Web Service Quality Prediction via Exploiting Matrix Factorization and Network Map 期刊论文 IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2016, 卷号: 13, 期号: 1, 页码: 126-137 作者: Tang, Mingdong; Zheng, Zibin; Kang, Guosheng; Liu, Jianxun; Yang, Yatao 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/12/13 Web services QoS prediction collaborative filtering matrix factorization
	Collaborative factorization for recommender systems 其他 2013-01-01 Fant, Chaosheng; Lan, Yanyan; Guo, Jiafeng; Lint, Zuoquan; Cheng, Xueqi 收藏 \| 浏览/下载：3/0 \| 提交时间：2015/11/13

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