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2013 IEEE 13th International Conference on Data Mining Workshops (2012)
Brussels, Belgium Belgium
Dec. 10, 2012 to Dec. 10, 2012
ISBN: 978-1-4673-5164-5
pp: 902-905
Creating and monitoring a competitive and cost-effective pay-per-click advertisement campaign through the web-search channel is a resource demanding task in terms of human expertise and effort. Assisting or even automating the work of an advertising specialist will have an unrivaled commercial value. In this demonstration we present a prototype and a functional web application for semi- and fully-automated creation, monitoring, and management of cost-efficient pay-per-click campaigns with budget constraints. The prototype is experimentally evaluated on real world Google Ad Words campaigns and shows a promising behavior with regards to campaign performance statistics outperforming systematically the competitive manually created and/or monitored campaigns.
Advertising, Optimization, Monitoring, Manuals, Google, Genetic algorithms, Testing, automated keyword extraction, online advertising, pay-per-click advertising, automated campaign management, genetic algorithms, Google AdWords
Stamatina Thomaidou, Konstantinos Leymonis, Kyriakos Liakopoulos, Michalis Vazirgiannis, "AD-MAD: Automated Development and Optimization of Online Advertising Campaigns", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 902-905, 2012, doi:10.1109/ICDMW.2012.144
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