Sampling RTB transactions in an online machine learning setting
We (the machine learning team at Jampp) strive to predict click-through rates (CTR) and conversion rates (CVR) for the real-time bidding (RTB) online advertising market by means of an in-house online machine learning platform based on a state-of-the-art stochastic gradient descent estimator. Our est...
Guardado en:
| Autor principal: | Pita, Carlos |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2016
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/56845 http://45jaiio.sadio.org.ar/sites/default/files/AGRANDA-11.pdf |
| Aporte de: |
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