ACM Home Page
Please provide us with feedback. Feedback
General auction mechanism for search advertising
Full text PdfPdf (813 KB)
Source
International World Wide Web Conference archive
Proceedings of the 18th international conference on World wide web table of contents
Madrid, Spain
SESSION: Internet monetization/session: sponsored search table of contents
Pages 241-250  
Year of Publication: 2009
ISBN:978-1-60558-487-4
Authors
Gagan Aggarwal  Google, Inc., Mountain View, CA, USA
S. Muthukrishnan  Google, Inc., New York, NY, USA
Dávid Pál  University of Waterloo, Waterloo, ON, Canada
Martin Pál  Google, inc., New York, NY, USA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 35,   Downloads (12 Months): 129,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1526709.1526742
What is a DOI?

ABSTRACT

In sponsored search, a number of advertising slots is available on a search results page, and have to be allocated among a set of advertisers competing to display an ad on the page. This gives rise to a bipartite matching market that is typically cleared by the way of an automated auction. Several auction mechanisms have been proposed, with variants of the Generalized Second Price (GSP) being widely used in practice. There is a rich body of work on bipartite matching markets that builds upon the stable marriage model of Gale and Shapley and the assignment model of Shapley and Shubik. This line of research offers deep insights into the structure of stable outcomes in such markets and their incentive properties. In this paper, we model advertising auctions in terms of an assignment model with linear utilities, extended with bidder and item specific maximum and minimum prices. Auction mechanisms like the commonly used GSP or the well-known Vickrey-Clarke-Groves (VCG) can be interpreted as simply computing a bidder-optimal stable matching in this model, for a suitably defined set of bidder preferences, but our model includes much richer bidders and preferences. We prove that in our model the existence of a stable matching is guaranteed, and under a non-degeneracy assumption a bidder-optimal stable matching exists as well. We give an algorithm to find such matching in polynomial time, and use it to design truthful mechanism that generalizes GSP, is truthful for profit-maximizing bidders, correctly implements features like bidder-specific minimum prices and position-specific bids, and works for rich mixtures of bidders and preferences. Our main technical contributions are the existence of bidder-optimal matchings and strategyproofness of the resulting mechanism, and are proved by induction on the progress of the matching algorithm.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
2
 
3
Gagan Aggarwal, S. Muthukrishnan, and Jon Feldman. Bidding to the top: VCG and equilibria of position-based auctions. In WAOA, 2006.
 
4
Ahmet Alkan. Existence and computation of matching equilibria. European Journal of Political Economy, 5(2-3):285--296, 1989.
 
5
Ahmet Alkan and David Gale. The core of the matching game. Games and Economic Behavior, 2(3):203--212, 1990.
 
6
Sushil Bikhchandani and Joseph M. Ostroy. From the assignment model to combinatorial auctions. In Combinatorial Auctions. MIT Press, 2006.
 
7
Edward H. Clarke. Multipart pricing of public goods. Public Choice, 11(1):17--33, 1971.
 
8
G. Demange and D. Gale. The strategy structure of two-sided matching markets. Econometrica, 53(4):873--888, 1985.
 
9
Gabrielle Demange, David Gale, and Marilda Sotomayor. Multi-item auctions. Journal of Political Economy, 94(4):863--872, 1986.
 
10
 
11
Benjamin Edelman, Michael Ostrovsky, and Michael Schwarz. Internet advertising and the generalized second price auction: Selling billions of dollars worth of keywords. American Economic Review, 97(1):242--259, March 2007.
 
12
Eyal Even-Dar, Jon Feldman, Yishay Mansour, and S. Muthukrishnan. On the effect of minimum prices on position auctions. WINE, 2008.
 
13
 
14
David Gale and Lloyd S. Shapley. College admissions and the stability of marriage. Am Math Monthly, 69(1):9--15, 1962.
 
15
David Gale and Marilda Sotomayor. Some remarks on the stable marriage problem. Discrete Applied Mathematics, 11:223--232, 1985.
 
16
Theodore Groves. Incentives in teams. Econometrica, 41(4):617--631, 1973.
 
17
J. A. S. Kelso and V. P. Crawford. Job matching, coalition formation, and gross substitutes. Econometrica, 50:1483--1504, 1982.
 
18
Harold W. Kuhn. The Hungarian method for the assignment problem. Naval Logistics Quarterly, 2:83--97, 1955.
 
19
Herman B. Leonard. Elicitation of honest preferences for the assignment of individuals to positions. Journal of Political Economy, 91:461--479, 1983.
 
20
 
21
M. Quinzii. Core and competitive equilibria with indivisibilities. International Journal of Game Theory, 13(1):41--60, 1984.
 
22
Alvin E. Roth. The economics of matching: Stability and incentives. Mathematics of Operations Research, 7(4):617--628, 1982.
 
23
Alvin E. Roth and Marilda A. Oliveira Sotomayor. Two-sided matching: A study in game-theoretic modeling and analysis. Cambridge University Press, 1990.
 
24
Lloyd S. Shapley and Martin Shubik. The assignment game i: The core. Intl J. of Game Theory, 1(1):111--130, 1971.
 
25
Hal R. Varian. Position auctions. International Journal of Industrial Organization, 2006.
 
26
William Vickrey. Counterspeculation, auctions, and competitive sealed tenders. J.of Finance, 16(1):8--37, 1961.
 
27
Wikipedia. http://en.wikipedia.org/wiki/Hungarian_algorithm.

Collaborative Colleagues:
Gagan Aggarwal: colleagues
S. Muthukrishnan: colleagues
Dávid Pál: colleagues
Martin Pál: colleagues