A LSTM-Hawkes hybrid model for posterior click distribution forecast in the advertising network environment

In the field of advertising technology, it is a key task to forecast posterior click distribution since 66% of advertising transactions depend on cost per click model. However, due to the General Data Protection Regulation, machine learning techniques to forecast posterior click distribution based o...

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Detalles Bibliográficos
Autores principales: Hwang, Sangwon, Joe, Inwhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274406/
https://www.ncbi.nlm.nih.gov/pubmed/32502154
http://dx.doi.org/10.1371/journal.pone.0232887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274406/
https://www.ncbi.nlm.nih.gov/pubmed/32502154
http://dx.doi.org/10.1371/journal.pone.0232887

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