Designing a successful adaptive agent for TAC Ad auction

Abstract

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.

Publication DOI: https://doi.org/10.3233/978-1-60750-606-5-587
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Computer Science
Event Title: 19th European Conference on Artificial Intelligence
Event Type: Other
Event Dates: 2010-08-16 - 2010-08-20
ISBN: 978-1-60750-605-8
Full Text Link: http://www.book ... aspx?piid=17816
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2010
Authors: Chang, Meng
He, Minghua
Luo, Xudong

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