Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.

X. Luo, Y. Yuan, M. Zhou, Z. Liu, and M. Shang. IEEE Trans. Syst. Man Cybern. Syst., 51 (8): 4612-4623 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

Robust and efficient algorithms for conversational contextual bandit.H. Gu, Y. Xia, H. Xie, X. Shi, and M. Shang. Inf. Sci., (February 2024)A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data.Y. Yuan, X. Luo, M. Shang, and Z. Wang. IEEE Trans. Cybern., 53 (9): 5788-5801 (September 2023)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)Incremental Slope-one recommenders.Q. Wang, X. Luo, Y. Li, X. Shi, L. Gu, and M. Shang. Neurocomputing, (2018)Toward Auto-Learning Hyperparameters for Deep Learning-Based Recommender Systems.B. Sun, D. Wu, M. Shang, and Y. He. DASFAA (2), volume 13246 of Lecture Notes in Computer Science, page 323-331. Springer, (2022)KAGN:knowledge-powered attention and graph convolutional networks for social media rumor detection.W. Cui, and M. Shang. J. Big Data, 10 (1): 45 (December 2023)Large-Scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems.X. Shi, Q. He, X. Luo, Y. Bai, and M. Shang. IEEE Trans. Big Data, 8 (2): 420-431 (2022)A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices.Y. Yuan, Q. He, X. Luo, and M. Shang. IEEE Trans. Big Data, 8 (3): 784-794 (2022)Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems.X. Luo, M. Zhou, S. Li, D. Wu, Z. Liu, and M. Shang. IEEE Trans. Big Data, 7 (1): 227-240 (2021)On RNN-Based $k$-WTA Models With Time-Dependent Inputs.M. Liu, and M. Shang. IEEE CAA J. Autom. Sinica, 9 (11): 2034-2036 (2022)

BibSonomy

Disambiguation of "Shang, Mingsheng"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.

Please choose a person to relate this publication to

Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shang, Mingsheng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.

Please choose a person to relate this publication to

Li Shang

Huiping Shang

Heping Shang

Xiaolei Shang

Dongkai Shangguan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems.