Improving ad click prediction by considering non-displayed events
Click-through rate (CTR) prediction is the core problem of building advertising systems. Most
existing state-of-the-art approaches model CTR prediction as binary classification problems …
existing state-of-the-art approaches model CTR prediction as binary classification problems …
[引用][C] Improving Ad Click Prediction by Considering Non-displayed Events
B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang… - Proceedings of the 28th …, 2019 - sonar.ch
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[引用][C] Improving Ad Click Prediction by Considering Non-displayed Events
B Yuan, H Zhu, JY Hsia, CY Chang… - … 19 Proceedings of …, 2019 - research-collection.ethz.ch
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[引用][C] Improving Ad Click Prediction by Considering Non-displayed Events
B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang… - Proceedings of the 28th …, 2019 - cir.nii.ac.jp
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[PDF][PDF] Improving Ad Click Prediction by Considering Non-displayed Events
B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang, Z Dong… - 2019 - csie.ntu.edu.tw
Online advertising is a major profit model for most Internet companies where advertisers pay
publishers for promoting ads on their services. Advertising systems perform in the role of a …
publishers for promoting ads on their services. Advertising systems perform in the role of a …
[引用][C] Improving Ad Click Prediction by Considering Non-displayed Events
B Yuan, JY Hsia, MY Yang, H Zhu, CY Chang… - Proceedings of the …, 2019 - folia.unifr.ch
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