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- W4210365743 abstract "The majority of online advertising is served through real-time bidding, and advertising campaigns are often defined as optimization problems. This paper deals with advertiser profit maximization subject to multiple advertiser performance constraints. The optimal bidding mechanism for a large family of multi-constrained advertising problems is derived, and it is demonstrated how the solution can be implemented as three separate subsystems; dealing with impression valuation, campaign control, and bid shading optimization, respectively. Feedback control plays a critical role to make this optimization scalable and adaptive. A proof of concept campaign control system is proposed and evaluated in simulations." @default.
- W4210365743 created "2022-02-08" @default.
- W4210365743 creator A5009505196 @default.
- W4210365743 date "2021-12-14" @default.
- W4210365743 modified "2023-09-23" @default.
- W4210365743 title "Scalable Multi-objective Optimization in Programmatic Advertising via Feedback Control" @default.
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- W4210365743 doi "https://doi.org/10.1109/cdc45484.2021.9683668" @default.
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