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Open Access

Peer-reviewed

Research Article

An improved advertising CTR prediction approach based on the fuzzy deep neural network

Zilong Jiang,

Roles Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliations School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei Province, China, School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou Province, China

http://orcid.org/0000-0002-6828-7269

⨯
Shu Gao,

Roles Formal analysis, Investigation

Affiliation School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei Province, China
⨯
Mingjiang Li

Roles Funding acquisition, Investigation, Project administration

* E-mail: mingjiangli1975@gmail.com

Affiliation School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, Guizhou Province, China
⨯

An improved advertising CTR prediction approach based on the fuzzy deep neural network

Zilong Jiang,
Shu Gao,
Mingjiang Li

x

Published: May 4, 2018
https://doi.org/10.1371/journal.pone.0190831

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