Abstract is missing.
- AFA: Auto-tuning Filters for AdsJoobin Gharibshah, Mahmuda Rahman, Abraham Bagherjeiran. [doi]
- A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per SecondBlaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori. [doi]
- Augmented Two-Stage Bandit Framework: Practical Approaches for Improved Online Ad SelectionSeowon Han, Ryan Lakritz, Hanxiao Wu. [doi]
- Training Differentially Private Ad Prediction Models With Semi-Sensitive FeaturesLynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar 0001, Pasin Manurangsi, Nicolas Mayoraz, Hema Venkata Krishna Giri Narra, Steffen Rendle, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang. [doi]
- SERP Interference Network and Its Applications in Search AdvertisingPurak Jain, Sandeep Appala. [doi]
- Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate PredictionRyohei Emori, Shinya Suzumura, Nobuyuki Shimizu, Takahiro Hoshino. [doi]
- RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking ModelYaChen Yan, Liubo Li. [doi]