Ad click prediction-Reference-Cited by-同舟云学术

Ad click prediction

Published:2013-08-11 Issue: Volume: Page:
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Container-title:Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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Author:

McMahan H. Brendan¹,Holt Gary²,Sculley D.²,Young Michael²,Ebner Dietmar³,Grady Julian²,Nie Lan³,Phillips Todd²,Davydov Eugene³,Golovin Daniel²,Chikkerur Sharat²,Liu Dan³,Wattenberg Martin⁴,Hrafnkelsson Arnar Mar³,Boulos Tom³,Kubica Jeremy²

Affiliation:

1. Google, Seattle, WA, USA

2. Google, Pittsburgh, PA, USA

3. Google, Mountain View, CA, USA

4. Google, Cambridge, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2487575.2488200

Reference34 articles.

1. Spatio-temporal models for estimating click-through rate

2. Photon

3. R. Bekkerman M. Bilenko and J. Langford. Scaling up machine learning: Parallel and distributed approaches. 2011. R. Bekkerman M. Bilenko and J. Langford. Scaling up machine learning: Parallel and distributed approaches. 2011.

4. Space/time trade-offs in hash coding with allowable errors

5. Beating the hold-out

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