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AdKDD@KDD 2024: Barcelona, Spain

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Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, August 25, 2024. CEUR Workshop Proceedings 3837, CEUR-WS.org 2024
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Blaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori:
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second.
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Seowon Han, Ryan Lakritz, Hanxiao Wu:
Augmented Two-Stage Bandit Framework: Practical Approaches for Improved Online Ad Selection.
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Yachen Yan, Liubo Li:
RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model.
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  - conf/adkdd/EmoriSSH24
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Ryohei Emori, Shinya Suzumura, Nobuyuki Shimizu, Takahiro Hoshino:
Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction.
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Purak Jain, Sandeep Appala:
SERP Interference Network and Its Applications in Search Advertising.
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  - conf/adkdd/GharibshahRB24
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Joobin Gharibshah, Mahmuda Rahman, Abraham Bagherjeiran:
AFA: Auto-tuning Filters for Ads.
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Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Nicolas Mayoraz, Hema Venkata Krishna Giri Narra, Steffen Rendle, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
Training Differentially Private Ad Prediction Models With Semi-Sensitive Features.

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