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AdKDD@KDD 2017: Halifax, NS, Canada
- Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017. ACM 2017, ISBN 978-1-4503-5194-2
- Yeming Shi, Ori Stitelman, Claudia Perlich:
Blacklisting the Blacklist in Online Advertising: Improving Delivery by Bidding for What You Can Win. 1:1-1:6 - Eustache Diemert, Julien Meynet, Pierre Galland, Damien Lefortier:
Attribution Modeling Increases Efficiency of Bidding in Display Advertising. 2:1-2:6 - Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh:
Anti-Ad Blocking Strategy: Measuring its True Impact. 3:1-3:6 - Xiang Chen, Bowei Chen, Mohan S. Kankanhalli:
MM2RTB: Bringing Multimedia Metrics to Real-Time Bidding. 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. 5:1-5:7 - Zhihui Xie, Kuang-Chih Lee, Liang Wang:
Optimal Reserve Price for Online Ads Trading Based on Inventory Identification. 6:1-6:7 - Sougata Chaudhuri, Abraham Bagherjeiran, James Liu:
Ranking and Calibrating Click-Attributed Purchases in Performance Display Advertising. 7:1-7:6 - Flavian Vasile, Damien Lefortier, Olivier Chapelle:
Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions. 8:1-8:6 - Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang:
A Practical Framework of Conversion Rate Prediction for Online Display Advertising. 9:1-9:9 - Kamelia Aryafar, Devin Guillory, Liangjie Hong:
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. 10:1-10:6 - Paul Grigas, Alfonso Lobos, Zheng Wen, Kuang-chih Lee:
Profit Maximization for Online Advertising Demand-Side Platforms. 11:1-11:7 - Ruoxi Wang, Bin Fu, Gang Fu, Mingliang Wang:
Deep & Cross Network for Ad Click Predictions. 12:1-12:7
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