Hyper-parameter-evolutionary latent factor analysis for high-dimensional and sparse data from recommender systems

Neurocomputing ◽

10.1016/j.neucom.2020.10.030 ◽

2021 ◽

Vol 421 ◽

pp. 316-328

Author(s):

Jiufang Chen ◽

Ye Yuan ◽

Tao Ruan ◽

Jia Chen ◽

Xin Luo

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Sparse Data ◽

High Dimensional ◽

Latent Factor

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Robust latent factor analysis for precise representation of high-dimensional and sparse data

IEEE/CAA Journal of Automatica Sinica ◽

10.1109/jas.2020.1003533 ◽

2020 ◽

pp. 1-10

Author(s):

Di Wu ◽

Xin Luo

Keyword(s):

Factor Analysis ◽

Sparse Data ◽

High Dimensional ◽

Latent Factor ◽

Precise Representation

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Fast and Accurate Non-negative Latent Factor Analysis on High-dimensional and Sparse Matrices in Recommender Systems

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2021.3125252 ◽

2021 ◽

pp. 1-1

Author(s):

Xin Luo ◽

Yue Zhou ◽

Zhigang Liu ◽

Mengchu Zhou

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Sparse Matrices ◽

High Dimensional ◽

Latent Factor

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A Parallelized, Momentum-incorporated Stochastic Gradient Descent Scheme for Latent Factor Analysis on High-dimensional and Sparse Matrices from Recommender Systems

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) ◽

10.1109/smc.2019.8914671 ◽

2019 ◽

Author(s):

Wen Qin ◽

Hao Wu ◽

Qingkuan Lai ◽

Chaobin Wang

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Gradient Descent ◽

Sparse Matrices ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

High Dimensional ◽

Latent Factor

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An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2019.2930525 ◽

2019 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Xin Luo ◽

Zidong Wang ◽

Mingsheng Shang

Keyword(s):

Factor Analysis ◽

Sparse Data ◽

High Dimensional ◽

Latent Factor ◽

Regularization Scheme

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Accelerated Latent Factor Analysis for Recommender Systems via PID Controller

2020 IEEE International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc48988.2020.9238055 ◽

2020 ◽

Author(s):

Jinli Li ◽

Xuke Wu ◽

Ye Yuan ◽

Yajuan Wu ◽

Kangkang Ma ◽

...

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Pid Controller ◽

Latent Factor

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Algorithms of Unconstrained Non-negative Latent Factor Analysis for Recommender Systems

IEEE Transactions on Big Data ◽

10.1109/tbdata.2019.2916868 ◽

2019 ◽

pp. 1-1 ◽

Cited By ~ 12

Author(s):

Xin Luo ◽

MengChu Zhou ◽

Shuai Li ◽

DI WU ◽

Zhigang Liu ◽

...

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Latent Factor

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Large-scale and Scalable Latent Factor Analysis via Distributed Alternative Stochastic Gradient Descent for Recommender Systems

IEEE Transactions on Big Data ◽

10.1109/tbdata.2020.2973141 ◽

2020 ◽

pp. 1-1 ◽

Cited By ~ 4

Author(s):

Xiaoyu Shi ◽

Qiang He ◽

Xin Luo ◽

Yannai Bai ◽

Mingsheng Shang

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Gradient Descent ◽

Large Scale ◽

Stochastic Gradient ◽

Stochastic Gradient Descent ◽

Latent Factor

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Effect of linear biases in latent factor models on high-dimensional and sparse matrices from recommender systems

2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC) ◽

10.1109/icnsc.2017.8000141 ◽

2017 ◽

Author(s):

Ye Yuan ◽

Xin Luo ◽

Ming-Sheng Shang ◽

Xin-Yi Cai

Keyword(s):

Recommender Systems ◽

Sparse Matrices ◽

Factor Models ◽

High Dimensional ◽

Latent Factor ◽

Latent Factor Models

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A Regularization-adaptive Non-negative Latent Factor Analysis-based Model For Recommender Systems

2020 IEEE International Conference on Human-Machine Systems (ICHMS) ◽

10.1109/ichms49158.2020.9209550 ◽

2020 ◽

Author(s):

Jiufang Chen ◽

Xin Luo ◽

MengChu Zhou

Keyword(s):

Factor Analysis ◽

Recommender Systems ◽

Latent Factor

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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 ◽

Cited By ~ 9

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

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