TY - GEN
T1 - AD-MAD
T2 - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
AU - Thomaidou, Stamatina
AU - Leymonis, Konstantinos
AU - Liakopoulos, Kyriakos
AU - Vazirgiannis, Michalis
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
KW - Automated campaign management
KW - Automated keyword extraction
KW - Genetic algorithms
KW - Google AdWords
KW - Online advertising
KW - Pay-per-click advertising
UR - https://www.scopus.com/pages/publications/84873148681
U2 - 10.1109/ICDMW.2012.144
DO - 10.1109/ICDMW.2012.144
M3 - Conference contribution
AN - SCOPUS:84873148681
SN - 9780769549255
T3 - Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
SP - 902
EP - 905
BT - Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012
Y2 - 10 December 2012 through 10 December 2012
ER -