Envy-Free Sponsored Search Auctions with Budgets
Abstract
We study the problem of designing envy-free sponsored search auctions, where bidders are budget-constrained. Our primary goal is to design auctions that maximize social welfare and revenue — two classical objectives in auction theory. For this purpose, we characterize envy-freeness with budgets by proving several elementary properties including consistency, monotonicity and transitivity. Based on this characterization, we come up with an envy-free auction, that is both social-optimal and bidder-optimal for a wide class of bidder types. More generally, for all bidder types, we provide two polynomial time approximation schemes (PTASs) for maximizing social welfare or revenue, where the notion of envy-freeness has been relaxed slightly. Finally, in cases where randomization is allowed in designing auctions, we devise similar PTASs for social welfare or revenue maximization problems.
Cite
Text
Tang and Zhang. "Envy-Free Sponsored Search Auctions with Budgets." International Joint Conference on Artificial Intelligence, 2015.Markdown
[Tang and Zhang. "Envy-Free Sponsored Search Auctions with Budgets." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/tang2015ijcai-envy/)BibTeX
@inproceedings{tang2015ijcai-envy,
title = {{Envy-Free Sponsored Search Auctions with Budgets}},
author = {Tang, Bo and Zhang, Jinshan},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2015},
pages = {653-659},
url = {https://mlanthology.org/ijcai/2015/tang2015ijcai-envy/}
}