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

Combining a deep neural network with fuzzy theory, this paper proposes an advertising click-through rate (CTR) prediction approach based on a fuzzy deep neural network (FDNN). In this approach, fuzzy Gaussian-Bernoulli restricted Boltzmann machine (FGBRBM) is first applied to input raw data from adv...

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Detalles Bibliográficos
Autores principales: Jiang, Zilong, Gao, Shu, Li, Mingjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935396/
https://www.ncbi.nlm.nih.gov/pubmed/29727443
http://dx.doi.org/10.1371/journal.pone.0190831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5935396/
https://www.ncbi.nlm.nih.gov/pubmed/29727443
http://dx.doi.org/10.1371/journal.pone.0190831

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