AdKDD 2023
Data Mining for Online Advertising 2023

Table of Contents

• Summary: There were 19 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 8 as regular papers and 0 as short papers.

• TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter
  Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich
• Scaling Generative Pre-training for User Ad Activity Sequences
  Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal
• Optimizing Hierarchical Queries for the Attribution Reporting API
  Matthew Dawson, Badih Ghazi, Pritish Kamath, Kapil Kumar, Ravi Kumar, Bo Luan, Pasin Manurangsi, Nishanth Mundru, Harikesh Nair, Adam Sealfon, Shengyu Zhu
• Private Ad Modeling with DP-SGD
  Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang
• Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation
  Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan
• Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search
  Phuong Ha Nguyen, Djordje Gligorijevic, Arnab Borah, Gajanan Adalinge, Abraham Bagherjeiran
• Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
  Xuewei Wang, Qiang Jin, Shengyu Huang, Min Zhang, Xi Liu, Zhengli Zhao, Yukun Chen, Zhengyu Zhang, Jiyan Yang, Ellie Wen, Sagar Chordia, Wenlin Chen, Qin Huang
• AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
  Yachen Yan, Liubo Li