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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |