CTR prediction of internet ads using artificial organic networks
For advertising networks to increase their revenues, priority must be given to the most profitable ads. The most important factor in the profitability of an ad is the click-through-rate (CTR) which is the probability that a user will click on the ad on a Web page. To predict the CTR, a number of sup...
- Autores:
-
Silva, Jesús
Varela Izquierdo, Noel
Cabrera, Danelys
Pineda, Omar
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7280
- Acceso en línea:
- https://hdl.handle.net/11323/7280
https://repositorio.cuc.edu.co/
- Palabra clave:
- Artificial organic networks in advertising
CPC advertising networks
CTR prediction
Supervised rating models
- Rights
- closedAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International