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Research on CTR prediction based on stacked autoencoder

Crossref DOI link: https://doi.org/10.1007/s10489-019-01416-5

Published Online: 2019-02-14

Published Print: 2019-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Qianqian

Liu, Fang’ai

Xing, Shuning

Zhao, Xiaohui
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61572301, 61772321)

the Innovation Fundation of Science and Technology Development Center of Ministry of Education and New H3C Group (2017A15047)

the Open Research Fund from Shandong provincial Key Laboratory of Computer Network (SDKLCN-2016-01)
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Text and Data Mining valid from 2019-02-14
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Article History

First Online: 14 February 2019

Compliance with ethical standards

:

: The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.