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Inicio  /  Applied Sciences  /  Vol: 12 Par: 7 (2022)  /  Artículo
ARTÍCULO
TITULO

Ad Creative Discontinuation Prediction with Multi-Modal Multi-Task Neural Survival Networks

Shunsuke Kitada    
Hitoshi Iyatomi and Yoshifumi Seki    

Resumen

This work can be applied to support decisions to discontinue ad creatives, which is expected to reduce the load of ad operators. Currently, our framework is deployed in a production environment and provides predictions for our internal operators. Based on the predictions, we have discussions with the operations team to improve the operation efficiency.

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