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On Multiple Keyword Sponsored Search Auctions with Budgets

Published: 07 December 2015 Publication History

Abstract

We study multiple keyword sponsored search auctions with budgets. Each keyword has multiple ad slots with a click-through rate. The bidders have additive valuations, which are linear in the click-through rates, and budgets, which are restricting their overall payments. Additionally, the number of slots per keyword assigned to a bidder is bounded.
We show the following results: (1) We give the first mechanism for multiple keywords, where click-through rates differ among slots. Our mechanism is incentive compatible in expectation, individually rational in expectation, and Pareto optimal. (2) We study the combinatorial setting, where each bidder is only interested in a subset of the keywords. We give an incentive compatible, individually rational, Pareto-optimal, and deterministic mechanism for identical click-through rates. (3) We give an impossibility result for incentive compatible, individually rational, Pareto-optimal, and deterministic mechanisms for bidders with diminishing marginal valuations.

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Cited By

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  • (2023)Reinvigorating sustainability in Internet of Things marketing: Framework for multi-round real-time bidding with game machine learningInternet of Things10.1016/j.iot.2023.10092124(100921)Online publication date: Dec-2023
  • (2023)Polyhedral Clinching Auctions for Indivisible GoodsWeb and Internet Economics10.1007/978-3-031-48974-7_21(366-383)Online publication date: 31-Dec-2023
  • (2021)EQUILIBRIUM ANALYSIS OF A MULTI-KEYWORD AUCTION – A CASE WHERE TWO ADVERTISERS HAVE THE SAME WEIGHTED AVERAGE VALUE複数キーワードオークションにおける均衡分析―2人の広告主の入札値が同じケース―Transactions of the Operations Research Society of Japan10.15807/torsj.64.20464(204-228)Online publication date: 2021
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Published In

cover image ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation  Volume 4, Issue 1
December 2015
169 pages
ISSN:2167-8375
EISSN:2167-8383
DOI:10.1145/2852252
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 07 December 2015
Accepted: 01 June 2015
Revised: 01 May 2015
Received: 01 March 2013
Published in TEAC Volume 4, Issue 1

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Author Tags

  1. Clinching ascending auction
  2. auctions with budgets
  3. sponsored search auctions

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Cited By

View all
  • (2023)Reinvigorating sustainability in Internet of Things marketing: Framework for multi-round real-time bidding with game machine learningInternet of Things10.1016/j.iot.2023.10092124(100921)Online publication date: Dec-2023
  • (2023)Polyhedral Clinching Auctions for Indivisible GoodsWeb and Internet Economics10.1007/978-3-031-48974-7_21(366-383)Online publication date: 31-Dec-2023
  • (2021)EQUILIBRIUM ANALYSIS OF A MULTI-KEYWORD AUCTION – A CASE WHERE TWO ADVERTISERS HAVE THE SAME WEIGHTED AVERAGE VALUE複数キーワードオークションにおける均衡分析―2人の広告主の入札値が同じケース―Transactions of the Operations Research Society of Japan10.15807/torsj.64.20464(204-228)Online publication date: 2021
  • (2018)Deep Learning for Revenue-Optimal Auctions with BudgetsProceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3237383.3237439(354-362)Online publication date: 9-Jul-2018

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