A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2015.2415257 ◽

2016 ◽

Vol 27 (3) ◽

pp. 579-592 ◽

Author(s):

Xin Luo ◽

MengChu Zhou ◽

Shuai Li ◽

Zhuhong You ◽

Yunni Xia ◽

...

Keyword(s):

Recommender Systems ◽

Large Scale ◽

Factor Model ◽

Sparse Matrices ◽

Alternating Direction Method ◽

Latent Factor ◽

Alternating Direction ◽

Latent Factor Model

Download Full-text

An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3130289 ◽

2021 ◽

pp. 1-14

Author(s):

Ming Li ◽

Yan Song

Keyword(s):

Missing Data ◽

Factor Model ◽

Alternating Direction Method ◽

Latent Factor ◽

Alternating Direction ◽

Latent Factor Model ◽

Missing Data Estimation ◽

Data Estimation

Download Full-text

A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2019.2931393 ◽

2019 ◽

pp. 1-12 ◽

Author(s):

Di Wu ◽

Xin Luo ◽

Mingsheng Shang ◽

Yi He ◽

Guoyin Wang ◽

...

Keyword(s):

Recommender Systems ◽

Factor Model ◽

Sparse Matrices ◽

High Dimensional ◽

Latent Factor ◽

Latent Factor Model

Download Full-text

A Proximal Alternating-direction-method-of-multipliers-based Nonnegative Latent Factor Model

10.1109/ickg52313.2021.00054 ◽

2021 ◽

Author(s):

Fanghui Bi ◽

Di Wu

Keyword(s):

Factor Model ◽

Alternating Direction Method ◽

Method Of Multipliers ◽

Latent Factor ◽

Alternating Direction ◽

Latent Factor Model ◽

Proximal Alternating Direction Method

Download Full-text

A Truncated Newton Method-Based Symmetric Non-negative Latent Factor Model for Large-scale Undirected Networks Representation*

10.1109/smc52423.2021.9658687 ◽

2021 ◽

Author(s):

Weiling Li ◽

Xin Luo

Keyword(s):

Newton Method ◽

Large Scale ◽

Factor Model ◽

Latent Factor ◽

Truncated Newton Method ◽

Latent Factor Model ◽

Truncated Newton

Download Full-text

Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks

10.1109/case49439.2021.9551403 ◽

2021 ◽

Author(s):

Yurong Zhong ◽

Xin Luo

Keyword(s):

Factor Analysis ◽

Large Scale ◽

Alternating Direction Method ◽

Method Of Multipliers ◽

Latent Factor ◽

Weighted Networks ◽

Alternating Direction

Download Full-text

Large-scale recommender system with compact latent factor model

Expert Systems with Applications ◽

10.1016/j.eswa.2016.08.009 ◽

2016 ◽

Vol 64 ◽

pp. 467-475 ◽

Author(s):

Chien-Liang Liu ◽

Xuan-Wei Wu

Keyword(s):

Recommender System ◽

Large Scale ◽

Factor Model ◽

Latent Factor ◽

Latent Factor Model

Download Full-text

A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices

IEEE Transactions on Big Data ◽

10.1109/tbdata.2020.2988778 ◽

2020 ◽

pp. 1-1 ◽

Author(s):

Ye Yuan ◽

Qiang He ◽

Xin Luo ◽

Mingsheng Shang

Keyword(s):

Factor Model ◽

Sparse Matrices ◽

High Dimensional ◽

Latent Factor ◽

Latent Factor Model

Download Full-text

Elastic net-regularized latent factor model for recommender systems

2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc.2018.8361354 ◽

2018 ◽

Author(s):

Xi Cheng ◽

Xin Luo

Keyword(s):

Recommender Systems ◽

Factor Model ◽

Elastic Net ◽

Latent Factor ◽

Latent Factor Model

Download Full-text

Nonparametric Bayesian Probabilistic Latent Factor Model for Group Recommender Systems

Web Information Systems Engineering – WISE 2016 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-48740-3_5 ◽

2016 ◽

pp. 61-76 ◽

Author(s):

Nipa Chowdhury ◽

Xiongcai Cai

Keyword(s):

Recommender Systems ◽

Factor Model ◽

Nonparametric Bayesian ◽

Latent Factor ◽

Group Recommender Systems ◽

Latent Factor Model ◽

Group Recommender

Download Full-text

A semiparametric latent factor model for large scale temporal data with heteroscedasticity

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2021.104786 ◽

2021 ◽

pp. 104786

Author(s):

Lyuou Zhang ◽

Wen Zhou ◽

Haonan Wang

Keyword(s):

Large Scale ◽

Factor Model ◽

Temporal Data ◽

Latent Factor ◽

Latent Factor Model

Download Full-text