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AD-MAD: Automated development and optimization of online advertising campaigns

  • Department of Informatics, Athens University of Economics and Business

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Creating and monitoring a competitive and costeffective pay-per-click advertisement campaign through the websearch 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 AdWords campaigns and shows a promising behavior with regards to campaign performance statistics outperforming systematically the competitive manually created and/or monitored campaigns.

Original languageEnglish
Title of host publicationProceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
Pages902-905
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
Event12th IEEE International Conference on Data Mining Workshops, ICDMW 2012 - Brussels, Belgium
Duration: 10 Dec 201210 Dec 2012

Publication series

NameProceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012

Conference

Conference12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
Country/TerritoryBelgium
CityBrussels
Period10/12/1210/12/12

Keywords

  • Automated campaign management
  • Automated keyword extraction
  • Genetic algorithms
  • Google AdWords
  • Online advertising
  • Pay-per-click advertising

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