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Market Approach to Social Ads: The MyLikes Example and Related Problems

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Algorithms and Computation (ISAAC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8283))

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Abstract

A potential way to advertise on social networks is to rely on word of mouth. What is a market approach to word of mouth social advertising? We describe an example: MyLikes, which is a new advertising platform. It lets anyone on a social network be a “publisher” of advertisements (ads). It provides a matching market so advertisers can find social publishers to advertise their products. Further, interestingly, it lets the social publishers modify the ad. As a result, a single base ad may be morphed into many. MyLikes lets publishers broadcast and communicate the ads to others in their social network. Finally, it provides a mechanism for advertisers to pay the publishers based on engagement of the social users with the ads. We describe research problems that emerge in such a marketplace for social ads.

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References

  1. Balseiro, S., Feldman, J., Mirrokni, V., Muthukrishnan, S.: Yield optimization of display advertising with ad exchange. In: Proceedings of the 12th ACM Conference on Electronic Commerce, pp. 27–28. ACM (2011)

    Google Scholar 

  2. Edelman, B., Ostrovsky, M., Schwarz, M.: Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords. Technical report, National Bureau of Economic Research (2005)

    Google Scholar 

  3. Even-Dar, E., Mirrokni, V., Muthukrishnan, S., Mansour, Y., Nadav, U.: Bid optimization for broad match ad auctions. In: WWW, pp. 231–240 (2009)

    Google Scholar 

  4. Feldman, J., Muthukrishnan, S.: Algorithmic methods for sponsored search advertising. In: Performance Modeling and Engineering, pp. 91–124 (2008)

    Google Scholar 

  5. 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 

  6. Kempe, D., Kleinberg, J., Tardos, É.: Influential nodes in a diffusion model for social networks. In: Caires, L., Italiano, G.F., Monteiro, L., Palamidessi, C., Yung, M. (eds.) ICALP 2005. LNCS, vol. 3580, pp. 1127–1138. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  7. Mehta, A.: Online matching and adwords, http://www.cs.princeton.edu/~zdvir/apx11slides/mehta-slides.pdf

  8. Mirrokni, V.: Online ad allocation, and online submodular welfare maximization, https://smartech.gatech.edu/bitstream/handle/1853/43305/Mirrokni.pdf

  9. Muthukrishnan, S.: Internet ad auctions: Insights and directions. In: Aceto, L., Damgård, I., Goldberg, L.A., Halldórsson, M.M., Ingólfsdóttir, A., Walukiewicz, I. (eds.) ICALP 2008, Part I. LNCS, vol. 5125, pp. 14–23. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  10. Muthukrishnan, S.: Ad exchanges: Research issues. In: Leonardi, S. (ed.) WINE 2009. LNCS, vol. 5929, pp. 1–12. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  11. Riederer, C., Erramilli, V., Chaintreau, A., Krishnamurthy, B., Rodriguez, P.: For sale: your data: by: you. In: Proceedings of the 10th ACM Workshop on Hot Topics in Networks, p. 13. ACM (2011)

    Google Scholar 

  12. Singer, Y.: How to win friends and influence people, truthfully: Influence maximization mechanisms for social networks. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 733–742. ACM (2012)

    Google Scholar 

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

    Article  Google Scholar 

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Krushevskaja, D., Muthukrishnan, S. (2013). Market Approach to Social Ads: The MyLikes Example and Related Problems. In: Cai, L., Cheng, SW., Lam, TW. (eds) Algorithms and Computation. ISAAC 2013. Lecture Notes in Computer Science, vol 8283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45030-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-45030-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45029-7

  • Online ISBN: 978-3-642-45030-3

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