A Dual Adaptive Interaction Click-Through Rate Prediction Based on Attention Logarithmic Interaction Network

Click-through rate (CTR) prediction is crucial for computing advertisement and recommender systems. The key challenge of CTR prediction is to accurately capture user interests and deliver suitable advertisements to the right people. However, there are an immense number of features in CTR prediction...

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Detalles Bibliográficos
Autores principales: Li, Shiqi, Cui, Zhendong, Pei, Yongquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778598/
https://www.ncbi.nlm.nih.gov/pubmed/36554236
http://dx.doi.org/10.3390/e24121831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778598/
https://www.ncbi.nlm.nih.gov/pubmed/36554236
http://dx.doi.org/10.3390/e24121831

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