JOURNAL ARTICLE

Mechanism Design for Federated Sponsored Search Auctions

Sofia CeppiNicola GattiEnrico Gerding

Year: 2011 Journal:   Proceedings of the AAAI Conference on Artificial Intelligence Vol: 25 (1)Pages: 608-613   Publisher: Association for the Advancement of Artificial Intelligence

Abstract

Recently there is an increase in smaller, domain-specific search engines that scour the deep web finding information that general-purpose engines are unable to discover. These search engines play a crucial role in the new generation of search paradigms where federated search engines (FSEs) integrate search results from heterogeneous sources. In this paper we pose, for the first time, the problem to design a revenue mechanism that ensures profits both to individual search engines and FSEs as a mechanism design problem. To this end, we extend the sponsored search auction models and we discuss possibility and impossibility results on the implementation of an incentive compatible mechanism. Specifically, we develop an execution-contingent VCG (where payments depend on the observed click behavior) that satisfies both individual rationality and weak budget balance in expectation.

Keywords:
Mechanism design Computer science Mechanism (biology) Common value auction Impossibility Search engine Revenue Incentive compatibility Incentive Operations research Microeconomics Information retrieval Economics Engineering Finance

Metrics

17
Cited By
4.22
FWCI (Field Weighted Citation Impact)
26
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Auction Theory and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Consumer Market Behavior and Pricing
Social Sciences →  Business, Management and Accounting →  Marketing
Digital Platforms and Economics
Social Sciences →  Business, Management and Accounting →  Strategy and Management

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