A CUDA-Parallelized Fast AutoEncoder for Highly Efficient Latent Factor Analysis on High-Dimensional and Sparse Matrices from Recommender Systems-Reference-Cited by-同舟云学术

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A CUDA-Parallelized Fast AutoEncoder for Highly Efficient Latent Factor Analysis on High-Dimensional and Sparse Matrices from Recommender Systems

Published:2021-12-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)
language:
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Author:

Luo Fei¹,Liu Zhigang²

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Computer Science and Technology,Chongqing,China

2. University of Chinese Academy of Sciences,Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing School,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9736193/9736161/09736205.pdf?arnumber=9736205

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