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Click-through Rate Prediction and Uncertainty Quantification Based on Bayesian Deep Learning
Click-through rate (CTR) prediction is a research point for measuring recommendation systems and calculating AD traffic. Existing studies have proved that deep learning performs very well in prediction tasks, but most of the existing studies are based on deterministic models, and there is a big gap...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048037/ https://www.ncbi.nlm.nih.gov/pubmed/36981295 http://dx.doi.org/10.3390/e25030406 |