Session interest model for CTR prediction based on self-attention mechanism

Click-through rate prediction, which aims to predict the probability of the user clicking on an item, is critical to online advertising. How to capture the user evolving interests from the user behavior sequence is an important issue in CTR prediction. However, most existing models ignore the factor...

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Detalles Bibliográficos
Autores principales: Wang, Qianqian, Liu, Fang’ai, Zhao, Xiaohui, Tan, Qiaoqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741903/
https://www.ncbi.nlm.nih.gov/pubmed/34996985
http://dx.doi.org/10.1038/s41598-021-03871-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741903/
https://www.ncbi.nlm.nih.gov/pubmed/34996985
http://dx.doi.org/10.1038/s41598-021-03871-y

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