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Bidding for Representative Allocations for Display Advertising

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Internet and Network Economics (WINE 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5929))

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Abstract

Display advertising has traditionally been sold via guaranteed contracts – a guaranteed contract is a deal between a publisher and an advertiser to allocate a certain number of impressions over a certain period, for a pre-specified price per impression. However, as spot markets for display ads, such as the RightMedia Exchange, have grown in prominence, the selection of advertisements to show on a given page is increasingly being chosen based on price, using an auction. As the number of participants in the exchange grows, the price of an impressions becomes a signal of its value. This correlation between price and value means that a seller implementing the contract through bidding should offer the contract buyer a range of prices, and not just the cheapest impressions necessary to fulfill its demand.

Implementing a contract using a range of prices, is akin to creating a mutual fund of advertising impressions, and requires randomized bidding. We characterize what allocations can be implemented with randomized bidding, namely those where the desired share obtained at each price is a non-increasing function of price. In addition, we provide a full characterization of when a set of campaigns are compatible and how to implement them with randomized bidding strategies.

A full version of this paper appears in [6].

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References

  1. Babaioff, M., Hartline, J., Kleinberg, R.: Selling banner ads: Online algorithms with buyback. In: 4th Workshop on Ad Auctions (2008)

    Google Scholar 

  2. Boutilier, C., Parkes, D., Sandholm, T., Walsh, W.: Expressive banner ad auctions and model-based online optimization for clearing. In: National Conference on Artificial Intelligence, AAAI (2008)

    Google Scholar 

  3. Constantin, F., Feldman, J., Muthukrishnan, S., Pal, M.: Online ad slotting with cancellations. In: 4th Workshop on Ad Auctions (2008)

    Google Scholar 

  4. Csiszar, I.: Why least squares and maximum entropy? an axiomatic approach to interference for linear inverse problems. Annals of Statistics 19(4), 2032–2066 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  5. Feige, U., Immorlica, N., Mirrokni, V.S., Nazerzadeh, H.: A combinatorial allocation mechanism with penalties for banner advertising. In: Proceedings of ACM WWW, pp. 169–178 (2008)

    Google Scholar 

  6. Ghosh, A., McAfee, P., Papineni, K., Vassilvitskii, S.: Bidding for representative allocations for display advertising. CoRR, abs/0910-0880 (2009)

    Google Scholar 

  7. McAfee, R.P., McMillan, J.: Auctions and bidding. Journal of Economic Literature 25(2), 699–738 (1987)

    Google Scholar 

  8. Milgrom, P.R.: A convergence theorem for competitive bidding with differential information. Econometrica 47(3), 679–688 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  9. Parkes, D., Sandholm, T.: Optimize-and-dispatch architecture for expressive ad auctions. In: 1st Workshop on Ad Auctions (2005)

    Google Scholar 

  10. Sandholm, T.: Expressive commerce and its application to sourcing: How we conducted $35 billion of generalized combinatorial auctions 28(3), 45–58 (2007)

    Google Scholar 

  11. Wilson, R.: A bidding model of perfect competition. Rev. Econ. Stud. 44(3), 511–518 (1977)

    Article  MATH  Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Ghosh, A., McAfee, P., Papineni, K., Vassilvitskii, S. (2009). Bidding for Representative Allocations for Display Advertising. In: Leonardi, S. (eds) Internet and Network Economics. WINE 2009. Lecture Notes in Computer Science, vol 5929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10841-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-10841-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10840-2

  • Online ISBN: 978-3-642-10841-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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