GAIN: A Gated Adaptive Feature Interaction Network for Click-Through Rate Prediction

CTR (Click-Through Rate) prediction has attracted more and more attention from academia and industry for its significant contribution to revenue. In the last decade, learning feature interactions have become a mainstream research direction, and dozens of feature interaction-based models have been pr...

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Detalles Bibliográficos
Autores principales: Liu, Yaoxun, Ma, Liangli, Wang, Muyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571864/
https://www.ncbi.nlm.nih.gov/pubmed/36236377
http://dx.doi.org/10.3390/s22197280

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571864/
https://www.ncbi.nlm.nih.gov/pubmed/36236377
http://dx.doi.org/10.3390/s22197280

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