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Truthful auctions with optimal profit

Published: 15 December 2006 Publication History

Abstract

We study the design of truthful auction mechanisms for maximizing the seller's profit. We focus on the case when the auction mechanism does not have any knowledge of bidders' valuations, especially of their upper bound. For the Single-Item auction, we obtain an “asymptotically” optimal scheme: for any kZ+ and ε>0, we give a randomized truthful auction that guarantees an expected profit of $\Omega(\frac{OPT}{\ln OPT \ln\ln OPT \cdots (\ln^{(k)}OPT)^{1+\epsilon}})$, where OPT is the maximum social utility of the auction. Moreover, we show that no truthful auction can guarantee an expected profit of $\Omega(\frac{OPT}{\ln OPT \ln\ln OPT\cdots \ln^{(k)}OPT})$.
In addition, we extend our results and techniques to Multi-units auction, Unit-Demand auction, and Combinatorial auction.

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Cited By

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  • (2018)Incentive-Aware Learning for Large MarketsProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186042(1369-1378)Online publication date: 10-Apr-2018
  • (2011)Real-time bidding algorithms for performance-based display ad allocationProceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2020408.2020604(1307-1315)Online publication date: 21-Aug-2011
  • (2010)Auctions with intermediariesProceedings of the 11th ACM conference on Electronic commerce10.1145/1807342.1807346(23-32)Online publication date: 7-Jun-2010
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    Published In

    cover image Guide Proceedings
    WINE'06: Proceedings of the Second international conference on Internet and Network Economics
    December 2006
    401 pages
    ISBN:3540681388
    • Editors:
    • Paul Spirakis,
    • Marios Mavronicolas,
    • Spyros Kontogiannis

    Sponsors

    • UOP: University of Patras
    • Ministry of Natural Education and Religious Affairs: Ministry of Natural Education and Religious Affairs
    • Dynamically Evolving Large-Scale Information Systems: Dynamically Evolving Large-Scale Information Systems

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    Springer-Verlag

    Berlin, Heidelberg

    Publication History

    Published: 15 December 2006

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    View all
    • (2018)Incentive-Aware Learning for Large MarketsProceedings of the 2018 World Wide Web Conference10.1145/3178876.3186042(1369-1378)Online publication date: 10-Apr-2018
    • (2011)Real-time bidding algorithms for performance-based display ad allocationProceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/2020408.2020604(1307-1315)Online publication date: 21-Aug-2011
    • (2010)Auctions with intermediariesProceedings of the 11th ACM conference on Electronic commerce10.1145/1807342.1807346(23-32)Online publication date: 7-Jun-2010
    • (2010)Quasi-proportional mechanismsProceedings of the 9th Latin American conference on Theoretical Informatics10.1007/978-3-642-12200-2_49(565-576)Online publication date: 19-Apr-2010
    • (2009)Ad ExchangesProceedings of the 5th International Workshop on Internet and Network Economics10.1007/978-3-642-10841-9_1(1-12)Online publication date: 9-Dec-2009

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