Skip to main content

Cooperative or Vindictive: Bidding Strategies in Sponsored Search Auction

  • Conference paper
Internet and Network Economics (WINE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4858))

Included in the following conference series:

Abstract

We analyze the economic stability and dynamic manipulation of vindictive strategies in conjunction with forward-looking cooperative bidders in Sponsored Search Auction. We investigate different vindictive strategies of different rationalities : malicious, conservative and selective. In a malicious vindictive strategy, the bidder forces his competitors to pay more by bidding just one cent lower of his competitor’s bid. We show that Nash Equilibrium is vulnerable even there is one malicious vindictive bidder. However, on bidder’s perspective, he has not much incentive to use a malicious vindictive strategy. A conservative vindictive bidding strategy makes a bidder never sacrifices his own benefit to take revenge on his competitor. Under this strategy, we prove that there always exists an output truthful Nash Equilibrium. However, it may not always be the unique equilibrium. Lastly, we investigate a selective vindictive strategy that a bidder rationally chooses to bid cooperatively or vindictively. The bidder takes a vindictive strategy only if the bidder who gets one position higher has a larger private value. We prove that selective vindictive strategy always results in a unique truthful Nash Equilibrium in conjunction with forward looking cooperative bidders. Interestingly, forward looking strategy gives the same payment as VCG mechanism if all the bidders takes it. However, the bidder prefers selective vindictive strategy while the auctioneer’s revenue reach maximum when all the bidders takes the selective vindictive strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Borgs, C., Chayes, J., Etesami, O., Immorlica, N., Jain, K., Mahdian, M.: Bid optimization in online advertisement auctions. In: Second Workshop on Sponsored Search Auctions, in conjunction with the ACM Conference on Electronic Commerce (EC 2006), Ann Arbor, Michigan, ACM Press, New York (2006)

    Google Scholar 

  2. Brandt, F., Weiß, G.: Antisocial agents and vickrey auctions. In: Meyer, J.-J., Tambe, M. (eds.) Pre-proceedings of the Eighth International Workshop on Agent Theories, Architectures, and Languages (ATAL-2001), pp. 120–132 (August 2001)

    Google Scholar 

  3. Bu, T.-M., Deng, X., Qi, Q.: Dynamic of strategic manipulation in ad-wordss auction. In: Workshop on Sponsered Search Auctions, in conjuction with the 16th International World Wide Web Conference, Banff, Alberta, Canada (May 11, 2007)

    Google Scholar 

  4. Chen, X., Deng, X., Liu, B.J.: On incentive compatible competitive selection protocol. In: Chen, D.Z., Lee, D.T. (eds.) COCOON 2006. LNCS, vol. 4112, pp. 13–22. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  5. Clarke, E.H.: Multipart pricing of public goods. Public Choice 11, 11–33 (1971)

    Article  Google Scholar 

  6. Edelman, B., Ostrovsky, M., Schwarz, M.: Internet advertising and the generalized second price auction: Selling billions of dollars worth of dollars worth of keywords. In: Second Workshop on Sponsored Search Auctions, in conjunction with the ACM Conference on Electronic Commerce (EC 2006), Ann Arbor, Michigan, ACM Press, New York (2006)

    Google Scholar 

  7. Feng, J., Zhang, X.M.: Dynamic price competition on the internet: advertising auctions. In: EC 2007: Proceedings of the 8th ACM conference on Electronic commerce, pp. 57–58. ACM Press, New York (2007)

    Chapter  Google Scholar 

  8. Groves, T.: Incentives in teams. Econometrica 41, 617–631 (1973)

    Article  MATH  MathSciNet  Google Scholar 

  9. Kao, M.-Y., Li, X.-Y., Wang, W.: Output truthful versus input truthful: A new concept for algorithmic mechanism design (2006)

    Google Scholar 

  10. Kitts, B., Leblanc, B.: Optimal bidding on keyword auctions. Electronic Markets, Sepcial issue: Innovative Auction Markets 14(3), 186–201 (2004)

    Google Scholar 

  11. Varian, H.R.: Position auctions. To appear in International Journal of Industrial Organization 

    Google Scholar 

  12. Vickrey, W.: Counterspeculation, auctions, and competitive sealed tenders. Journal of Finance XVI, 8–37 (1961)

    Article  Google Scholar 

  13. Zhou, Y., Lukose, R.: Vindictive bidding in keyword auctions. In: Second Workshop on Sponsored Search Auctions, in conjunction with the ACM Conference on Electronic Commerce (EC 2006), Ann Arbor, Michigan, ACM Press, New York (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Xiaotie Deng Fan Chung Graham

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liang, L., Qi, Q. (2007). Cooperative or Vindictive: Bidding Strategies in Sponsored Search Auction. In: Deng, X., Graham, F.C. (eds) Internet and Network Economics. WINE 2007. Lecture Notes in Computer Science, vol 4858. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77105-0_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-77105-0_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77104-3

  • Online ISBN: 978-3-540-77105-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics