A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data-Reference-Cited by-同舟云学术

A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Yuan Ye¹,Luo Xin¹^ORCID,Shang Mingsheng²^ORCID,Wang Zidong³^ORCID

Affiliation:

1. College of Computer and Information Science, Southwest University, Chongqing, China

2. Chongqing Institute of Green and Intelligent Technology, Chongqing Engineering Research Center of Big Data Application for Smart Cities and the Chongqing Key Laboratory of Big Data and Intelligent Computing, Chinese Academy of Sciences, Chongqing, China

3. Department of Computer Science, Brunel University London, Uxbridge, U.K.

Funder

National Natural Science Foundation of China

CAAI-Huawei MindSpore Open Fund of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09839318.pdf?arnumber=9839318

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