| Vol-3837 urn:nbn:de:0074-3837-8 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# AdKDD 2024
Data Mining for Online Advertising 2024

### 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.

Edited by

### Abraham Bagherjeiran *
Nemanja Djuric **
Kuangchih Lee ***
Linsey Pang ****
Vladan Radosavljevic *****
Suju Rajan ******

* eBay Inc., CA, USA
** Aurora Technology, PA, USA
*** Walmart Lab, CA, USA
**** Salesforce, CA, USA
***** Spotify, NY, USA
****** Amazon, CA, USA

## Table of Contents

- Summary: There were 18 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, 10 as regular papers and 0 as short papers.

- A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
  Blaž Škrlj, Benjamin Ben-Shalom, Grega Gašperšič, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopič, Andraž Tori
- Augmented Two-Stage Bandit Framework: Practical Approaches for Improved Online Ad Selection
  Seowon Han, Ryan Lakritz, Hanxiao Wu
- RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
  Yachen Yan, Liubo Li
- Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction
  Ryohei Emori, Shinya Suzumura, Shimizu Nobuyuki, Takahiro Hoshino
- SERP Interference Network and Its Applications in Search Advertising
  Purak Jain, Sandeep Appala
- AFA: Auto-tuning Filters for Ads
  Joobin Gharibshah, Mahmuda Rahman, Abraham Bagherjeiran
- Training Differentially Private Ad Prediction Models With Semi-Sensitive Features
  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 Varadarajan, Chiyuan Zhang

2024-10-25: submitted by Linsey Pang, metadata incl. bibliographic data published under Creative Commons CC0
2024-11-20: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|