Graph Attention Interaction Aggregation Network for Click-Through Rate Prediction

Click-through rate prediction is a critical task for computational advertising and recommendation systems, where the key challenge is to model feature interactions between different feature domains. At present, the main click-through rate prediction models model feature interactions in an implicit w...

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Detalles Bibliográficos
Autores principales: Zhang, Wei, Kang, Zhaobin, Song, Lingling, Qu, Kaiyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784643/
https://www.ncbi.nlm.nih.gov/pubmed/36560060
http://dx.doi.org/10.3390/s22249691

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784643/
https://www.ncbi.nlm.nih.gov/pubmed/36560060
http://dx.doi.org/10.3390/s22249691

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