Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search
Author:
Affiliation:
1. Xidian University, Xian, China
2. Alibaba Group & Xidian University, Hangzhou, China
3. Alibaba Group, Hangzhou, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3447548.3467204
Reference28 articles.
1. Christian Borgs Jennifer Chayes Nicole Immorlica Kamal Jain Omid Etesami and Mohammad Mahdian. 2007. Dynamics of bid optimization in online advertisement auctions. In WWW. 531--540. Christian Borgs Jennifer Chayes Nicole Immorlica Kamal Jain Omid Etesami and Mohammad Mahdian. 2007. Dynamics of bid optimization in online advertisement auctions. In WWW. 531--540.
2. Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu and Defeng Guo. 2017. Real-time bidding by reinforcement learning in display advertising. In WSDM. 661--670. Han Cai Kan Ren Weinan Zhang Kleanthis Malialis Jun Wang Yong Yu and Defeng Guo. 2017. Real-time bidding by reinforcement learning in display advertising. In WSDM. 661--670.
3. Ruggiero Cavallo Maxim Sviridenko and Christopher A Wilkens. 2018. Matching auctions for search and native ads. In ACM EC. 663--680. Ruggiero Cavallo Maxim Sviridenko and Christopher A Wilkens. 2018. Matching auctions for search and native ads. In ACM EC. 663--680.
4. The Online Advertising Industry: Economics, Evolution, and Privacy
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