Designing a successful adaptive agent for TAC Ad auction

Meng Chang, Minghua He, Xudong Luo

Research output: Chapter in Book/Published conference outputConference publication


This paper describes the design and evaluation of Aston-TAC, the runner-up in the Ad Auction Game of 2009 International Trading Agent Competition. In particular, we focus on how Aston-TAC generates adaptive bid prices according to the Market-based Value Per Click and how it selects a set of keyword queries to bid on to maximise the expected profit under limited conversion capacity. Through evaluation experiments, we show that AstonTAC performs well and stably not only in the competition but also across a broad range of environments.
Original languageEnglish
Title of host publicationFrontiers in artificial intelligence and applications
Subtitle of host publicationECAI 2010 - 19th European conference on artificial intelligence
EditorsHelder Coelho, Rudi Studer, Michael Wooldridge
Number of pages6
ISBN (Print)978-1-60750-605-8
Publication statusPublished - 2010
Event19th European Conference on Artificial Intelligence - Lisbon, Portugal
Duration: 16 Aug 201020 Aug 2010


Conference19th European Conference on Artificial Intelligence
Abbreviated titleECAI 2010
Internet address


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