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A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.

X. Luo, M. Zhou, M. Shang, S. Li, and Y. Xia. IEEE Access, (2016)

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An efficient heuristic algorithm for arbitrary shaped rectilinear block packing problem.D. Chen, J. Liu, Y. Fu, and M. Shang. Computers & OR, 37 (6): 1068-1074 (2010)A Hybrid Decision Approach to Detect Profile Injection Attacks in Collaborative Recommender Systems.S. Huang, M. Shang, and S. Cai. ISMIS, volume 7661 of Lecture Notes in Computer Science, page 377-386. Springer, (2012)Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications.X. Luo, J. Sun, Z. Wang, S. Li, and M. Shang. IEEE Trans. Industrial Informatics, 13 (6): 3098-3107 (2017)RoboNet: a Neural Network Based Kinematic Parameter Identification Model.D. Xiong, and M. Shang. ICNSC, page 1-6. IEEE, (2021)Personal Recommendation Based on Weighted Bipartite Networks.J. Liu, M. Shang, and D. Chen. FSKD (5), page 134-137. IEEE Computer Society, (2009)Symmetric Non-negative Latent Factor Models for Undirected Large Networks.X. Luo, and M. Shang. IJCAI, page 2435-2442. ijcai.org, (2017)A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction.Q. Wang, M. Chen, M. Shang, and X. Luo. Neurocomputing, (2019)A hybrid cognitive assessment based on ontology knowledge map and skills.X. Zhong, H. Fu, H. Xia, L. Yang, and M. Shang. Knowl.-Based Syst., (2015)Recommendation algorithm based on item quality and user rating preferences.Y. Guan, S. Cai, and M. Shang. Frontiers of Computer Science, 8 (2): 289-297 (2014)A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.X. Luo, M. Zhou, M. Shang, S. Li, and Y. Xia. IEEE Access, (2016)

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A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.

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A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices.