Online Allocation and Display Ads Optimization with Surplus Supply
Melika Abolhassani, Hossein Esfandiari, Yasamin Nazari,, Balasubramanian Sivan, Yifeng Teng, Creighton Thomas

TL;DR
This paper introduces a new supply factor concept to optimize publisher revenue across guaranteed contracts and ad exchanges, providing a simple algorithm with an optimal competitive ratio that adapts to supply conditions.
Contribution
It presents a fast deterministic algorithm for online ad allocation with an optimal competitive ratio based on the supply factor, extending classic online matching problems.
Findings
Optimal competitive ratio depends on supply factor, penalty, and bid distribution.
Supply factor improves approximation ratios from 1-1/e to near 1 as it increases.
The algorithm's competitive ratio is proven to be tight.
Abstract
In this work, we study a scenario where a publisher seeks to maximize its total revenue across two sales channels: guaranteed contracts that promise to deliver a certain number of impressions to the advertisers, and spot demands through an Ad Exchange. On the one hand, if a guaranteed contract is not fully delivered, it incurs a penalty for the publisher. On the other hand, the publisher might be able to sell an impression at a high price in the Ad Exchange. How does a publisher maximize its total revenue as a sum of the revenue from the Ad Exchange and the loss from the under-delivery penalty? We study this problem parameterized by \emph{supply factor }: a notion we introduce that, intuitively, captures the number of times a publisher can satisfy all its guaranteed contracts given its inventory supply. In this work we present a fast simple deterministic algorithm with the optimal…
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Taxonomy
TopicsOptimization and Search Problems · Auction Theory and Applications · Supply Chain and Inventory Management
