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ORCIDAdKDD@KDD 2023: Long Beach, CA, USA
- Abraham Bagherjeiran, Nemanja Djuric, Kuang-chih Lee, Linsey Pang, Vladan Radosavljevic, Suju Rajan:
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2023) co-located with the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), Long Beach, CA, USA, August 7, 2023. CEUR Workshop Proceedings 3556, CEUR-WS.org 2023 - Vanessa Cai, Pradeep Prabakar, Manuel Serrano Rebuelta, Lucas Rosen, Federico Monti, Katarzyna Janocha, Tomo Lazovich, Jeetu Raj, Yedendra Shrinivasan, Hao Li, Thomas Markovich:
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter. - Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal:
Scaling Generative Pre-training for User Ad Activity Sequences. - Matthew Dawson, Badih Ghazi, Pritish Kamath, Kapil Kumar, Ravi Kumar, Bo Luan, Pasin Manurangsi, Nishanth Mundru, Harikesh Nair, Adam Sealfon, Shengyu Zhu:
Optimizing Hierarchical Queries for the Attribution Reporting API. - Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
Private Ad Modeling with DP-SGD. - Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan:
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation. - Phuong Ha Nguyen, Djordje Gligorijevic, Arnab Borah, Gajanan Adalinge, Abraham Bagherjeiran:
Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search. - 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:
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking. - YaChen Yan, Liubo Li:
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction.
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