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KDD
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative
KDD2019 (
Acceptance rate = 20%
;
1st place in Data Mining & Analysis at Google Scholar Metrics
)
Shunsuke Kitada, Ph.D.
,
Hitoshi Iyatomi
,
Yoshifumi Seki
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Accepted our paper to ACM KDD2019 Applied Data Science Track
The following paper has been accepted to the
KDD2019 Applied Data Science Track
.
Shunsuke Kitada, Hitoshi Iyatomi, and Yoshifumi Seki.
“Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative”
Shunsuke Kitada, Ph.D.
,
Hitoshi Iyatomi
,
Yoshifumi Seki
Last updated on Aug 29, 2026
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