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Feb 23, 2022 · Abstract:In display ad auctions of Real-Time Bid-ding (RTB), a typical Demand-Side Platform (DSP)bids based on the predicted probability of ...
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We conduct extensive experiments using a real-world advertising campaign and examine the performance under various settings. We find that lift-based bidding, ...
Feb 23, 2022 · In this study, we address the practical difficulty in introducing a lift-based bidding in the real world. We combined a CTR predictor with lift- ...
This study develops Unbiased Lift-based Bidding System, which maximizes the advertisers' profit by accurately predicting the lift-effect from biased log ...
Our system is the first to enable high-performing lift-based bidding strategy by theoretically alleviating the inher- ent bias in the log. Real-world, large- ...
A Real-World Implementation of Unbiased Lift-based Bidding System. Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui, Masashi Shibata.
Our system is the first to enable high-performing lift-based bidding strategy by theoretically alleviating the inherent bias in the log. Real-world, large-scale ...
Lift-based bidding is a bidding strategy that the bid price is based on the predicted lift τ. ○ v is reward for a unit of conversion lift.
This is a collection of research and review papers of real-time bidding (RTB) based display advertising techniques. The sharing principle of these ...
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We propose a generalizable approach to optimizing bidding policies in production environments by learning from real data using offline reinforcement learning.