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Publication search results
found 78 matches
- 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. AdKDD@KDD 2023 - Sharad Chitlangia, Krishna Reddy Kesari, Rajat Agarwal:
Scaling Generative Pre-training for User Ad Activity Sequences. AdKDD@KDD 2023 - 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. AdKDD@KDD 2023 - 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. AdKDD@KDD 2023 - Yueh-Ning Ku, Mikhail Kuznetsov, Shaunak Mishra, Paloma de Juan:
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation. AdKDD@KDD 2023 - Phuong Ha Nguyen, Djordje Gligorijevic, Arnab Borah, Gajanan Adalinge, Abraham Bagherjeiran:
Practical Budget Pacing Algorithms and Simulation Test Bed for eBay Marketplace Sponsored Search. AdKDD@KDD 2023 - 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. AdKDD@KDD 2023 - YaChen Yan, Liubo Li:
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction. AdKDD@KDD 2023 - 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 [contents] - 2017
- Kamelia Aryafar, Devin Guillory, Liangjie Hong:
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. ADKDD@KDD 2017: 10:1-10:6 - Sougata Chaudhuri, Abraham Bagherjeiran, James Liu:
Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising. ADKDD@KDD 2017: 7:1-7:6 - Xiang Chen, Bowei Chen
, Mohan S. Kankanhalli:
MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding. ADKDD@KDD 2017: 4:1-4:6 - Tingting Cui, Lijun Peng, David Pardoe, Kun Liu, Deepak Agarwal, Deepak Kumar:
Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn. ADKDD@KDD 2017: 5:1-5:7 - Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier:
Attribution Modeling Increases Efficiency of Bidding in Display Advertising. ADKDD@KDD 2017: 2:1-2:6 - Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-chih Lee:
Profit Maximization for Online Advertising Demand-Side Platforms. ADKDD@KDD 2017: 11:1-11:7 - Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang:
A Practical Framework of Conversion Rate Prediction for Online Display Advertising. ADKDD@KDD 2017: 9:1-9:9 - Yeming Shi, Ori Stitelman, Claudia Perlich:
Blacklisting the Blacklist in Online Advertising: Improving Delivery by Bidding for What You Can Win. ADKDD@KDD 2017: 1:1-1:6 - Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh:
Anti-Ad Blocking Strategy: Measuring its True Impact. ADKDD@KDD 2017: 3:1-3:6 - Flavian Vasile, Damien Lefortier, Olivier Chapelle:
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. ADKDD@KDD 2017: 8:1-8:6 - Ruoxi Wang, Bin Fu, Gang Fu, Mingliang Wang:
Deep & Cross Network for Ad Click Predictions. ADKDD@KDD 2017: 12:1-12:7 - Zhihui Xie, Kuang-Chih Lee, Liang Wang:
Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. ADKDD@KDD 2017: 6:1-6:7 - Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017. ACM 2017, ISBN 978-1-4503-5194-2 [contents]
- 2014
- Bowei Chen
, Shuai Yuan, Jun Wang:
A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising. ADKDD@KDD 2014: 1:1-1:9 - Sahin Cem Geyik, Abhishek Saxena, Ali Dasdan:
Multi-Touch Attribution Based Budget Allocation in Online Advertising. ADKDD@KDD 2014: 2:1-2:9 - Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela:
Practical Lessons from Predicting Clicks on Ads at Facebook. ADKDD@KDD 2014: 5:1-5:9 - Juan M. Huerta, Jonathan Lenaghan, Steve Milton, Kevin Brackney, Amol Kapila, Roman Shraga, Rachit Srivastava, Carmem Domingues Khoa Pham, Eliza Chang, Susan Zhang, Evan Picard, Alexandra Dango, Ranqi Zhu:
The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences. ADKDD@KDD 2014: 4:1-4:9 - Brendan Kitts, Michael Bardaro, Dyng Au, Al Lee, Sawin Lee, Jon Borchardt, Craig Schwartz, John Sobieski, John Wadsworth-Drake:
Can Television Advertising Impact Be Measured on the Web? Web Spike Response as a Possible Conversion Tracking System for Television. ADKDD@KDD 2014: 7:1-7:9 - Hairen Liao, Lingxiao Peng, Zhenchuan Liu, Xuehua Shen:
iPinYou Global RTB Bidding Algorithm Competition Dataset. ADKDD@KDD 2014: 6:1-6:6 - Melinda Han Williams, Claudia Perlich, Brian Dalessandro, Foster J. Provost:
Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth. ADKDD@KDD 2014: 3:1-3:9 - Esin Saka, Dou Shen, Kuang-chih Lee, Ying Li:
Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, ADKDD 2014, August 24, 2014, New York City, New York, USA. ACM 2014, ISBN 978-1-4503-2999-6 [contents]
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