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Optimal Bidding, Allocation and Budget Spending for a Demand Side Platform Under Many Auction Types
[article]
2018
arXiv
pre-print
We develop a novel optimization model to maximize the profit of a Demand-Side Platform (DSP) while ensuring that the budget utilization preferences of the DSP's advertiser clients are adequately met. Our model is highly flexible and can be applied in a Real-Time Bidding environment (RTB) with arbitrary auction types, e.g., both first and second price auctions. Our proposed formulation leads to a non-convex optimization problem due to the joint optimization over both impression allocation and
arXiv:1805.11645v1
fatcat:rp7gwcwidvhvxp7fbeqny5eqya