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