Skip to main content

An Incentive–Compatible Revenue–Sharing Mechanism for the Economic Sustainability of Multi–domain Search Based on Advertising

  • Chapter
  • 922 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7538))

Abstract

Multi–domain search engines decompose complex queries addressing several issues at a time into sub–queries, and forwards them to one or more domain–specific content providers, typically implemented as Web services. This enables complex searches (e.g., vacation planning, composed of a hotel, flight, and car search), and allows users to receive aggregated and high quality results from a variety of sources. We focus on the design of a revenue sharing mechanism for multi–domain search, considering the general setting in which different actors (content providers, advertising providers, hybrid content+advertising providers, and content integrators) are involved in the search results generation. The design of such a mechanism is paramount for the economic sustainability of multi–domain search. Our revenue sharing mechanism extends the existing sponsored search auctions by supporting heterogeneous participants and allowing the redistribution of monetary values to the different actors.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   72.00
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Danescu-Niculescu-Mizil, C., Broder, A.Z., Gabrilovich, E., Josifovski, V., Pang, B.: Competing for users’ attention: on the interplay between organic and sponsored search results. In: WWW, pp. 291–300 (2010)

    Google Scholar 

  2. Ceppi, S., Gatti, N., Gerding, E.H.: Mechanism design for federated sponsored search auctions. In: AAAI (2011)

    Google Scholar 

  3. Chen, Y., Ghosh, A., McAfee, R.P., Pennock, D.: Sharing Online Advertising Revenue with Consumers. In: Papadimitriou, C., Zhang, S. (eds.) WINE 2008. LNCS, vol. 5385, pp. 556–565. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Brambilla, M., Ceppi, S., Gatti, N., Gerding, E.H.: A revenue sharing mechanism for federated search and advertising. In: WWW (2012)

    Google Scholar 

  5. Ceppi, S., Gatti, N.: An automated mechanism design approach for sponsored search auctions with federated search engine. In: AMEC, pp. 127–140 (2010)

    Google Scholar 

  6. Narahari, Y., Garg, D., Narayanam, R., Prakash, H.: Game Theoretic Problems in Network Economics and Mechanism Design Solutions. Springer (February 2009)

    Google Scholar 

  7. Ceppi, S., Gerding, E.H., Gatti, N.: Merging multiple information sources in federated sponsored search. In: AAMAS (2012)

    Google Scholar 

  8. Cavallo, R.: Optimal decision–making with minimal waste: Strategyproof redistribution of VCG payments. In: AAMAS, pp. 882–889. ACM (2001)

    Google Scholar 

  9. Devanur, N.R., Kakade, S.M.: The price of truthfulness for pay–per–click auctions. In: ACM EC, pp. 99–106 (2009)

    Google Scholar 

  10. Edelman, B., Ostrovsky, M., Schwarz, M.: Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American Economic Review 97(1), 242–259 (2007)

    Article  Google Scholar 

  11. Varian, H.R.: Position auctions. International Journal of Industrial Organization 25(6), 1163–1178 (2007)

    Article  Google Scholar 

  12. Gatti, N., Lazaric, A., Trovo, F.: A truthful learning mechanism for multi–slot sponsored search auctions with externalities. In: AAMAS (2012)

    Google Scholar 

  13. Gatti, N., Lazaric, A., Trovo, F.: A truthful learning mechanism for contextual multi–slot sponsored search auctions with externalities. In: ACM EC (2012)

    Google Scholar 

  14. Aggarwal, G., Feldman, J., Muthukrishnan, S., Pál, M.: Sponsored Search Auctions with Markovian Users. In: Papadimitriou, C., Zhang, S. (eds.) WINE 2008. LNCS, vol. 5385, pp. 621–628. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  15. Kempe, D., Mahdian, M.: A Cascade Model for Externalities in Sponsored Search. In: Papadimitriou, C., Zhang, S. (eds.) WINE 2008. LNCS, vol. 5385, pp. 585–596. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  16. Aggarwal, G., Muthukrishnan, S., Pál, D., Pál, M.: General auction mechanism for search advertising. In: WWW, pp. 241–250 (2009)

    Google Scholar 

  17. Ghosh, A., McAfee, P., Papineni, K., Vassilvitskii, S.: Bidding for Representative Allocations for Display Advertising. In: Leonardi, S. (ed.) WINE 2009. LNCS, vol. 5929, pp. 208–219. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  18. Goel, A., Munagala, K.: Hybrid keyword search auctions. In: WWW, pp. 221–230 (2009)

    Google Scholar 

  19. Lang, K., Delgado, J., Jiang, D., Ghosh, B., Das, S., Gajewar, A., Jagadish, S., Seshan, A., Botev, C., Bindeberger-Ortega, M., et al.: Efficient online ad serving in a display advertising exchange. In: ACM WSDM, pp. 307–316. ACM (2011)

    Google Scholar 

  20. Muthukrishnan, S.: Ad Exchanges: Research Issues. In: Leonardi, S. (ed.) WINE 2009. LNCS, vol. 5929, pp. 1–12. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  21. Green, J., Laffont, J.J.: Characterization of satisfactory mechanisms for the revelation of preferences for public goods. Econometrica 45, 427–438 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  22. Guo, M., Conitzer, V.: Undominated VCG redistribution mechanisms. In: AAMAS, pp. 1039–1046 (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Brambilla, M., Ceppi, S., Gatti, N., Gerding, E.H. (2012). An Incentive–Compatible Revenue–Sharing Mechanism for the Economic Sustainability of Multi–domain Search Based on Advertising. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 7538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34213-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34213-4_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34212-7

  • Online ISBN: 978-3-642-34213-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics