TY - GEN
T1 - Feature selection methods evaluation for CTR estimation
AU - Miralles-Pechuán, Luis
AU - Ponce, Hiram
AU - Martínez-Villaseñor, Lourdes
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - The most widespread payment model in online advertising is Cost-per-click (CFC). In this model the advertisers pay each time that a user generates a click. In order to enhance the income of CPC Advertising Networks, it is necessary to give priority to the most profitable adverts. The most important factor in the profitability of an advert is Click-through-rate (CTR), which is the probability that a user generates a click in a given advert In this paper we find which feature selection method between PCA, RFE, Gain ratio and NSGA-II is better suited, or if otherwise, the machine learning classification methods work best without any feature selection method.
AB - The most widespread payment model in online advertising is Cost-per-click (CFC). In this model the advertisers pay each time that a user generates a click. In order to enhance the income of CPC Advertising Networks, it is necessary to give priority to the most profitable adverts. The most important factor in the profitability of an advert is Click-through-rate (CTR), which is the probability that a user generates a click in a given advert In this paper we find which feature selection method between PCA, RFE, Gain ratio and NSGA-II is better suited, or if otherwise, the machine learning classification methods work best without any feature selection method.
KW - CPC advertising networks models
KW - CTR prediction
KW - Feature selection methods
KW - Supervised classification methods
UR - http://www.scopus.com/inward/record.url?scp=85117826512&partnerID=8YFLogxK
U2 - 10.1109/MICAI-2016.2016.00017
DO - 10.1109/MICAI-2016.2016.00017
M3 - Conference contribution
AN - SCOPUS:85117826512
T3 - Proceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2016
SP - 57
EP - 62
BT - Proceedings of a Special Session - 15th Mexican International Conference on Artificial Intelligence
A2 - Sidorov, Grigori
A2 - Alcantara, Oscar Herrera
A2 - Jimenez, Sabino Miranda
A2 - Lagunas, Obdulia Pichardo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th Mexican International Conference on Artificial Intelligence, MICAI 2016
Y2 - 23 October 2016 through 29 October 2016
ER -