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pro vyhledávání: '"Julian Paul Grady"'
Autor:
Julian Paul Grady, Arnar Mar Hrafnkelsson, Lan Nie, Martin Wattenberg, J. Kubica, Gary Holt, Todd Phillips, Dan Liu, Daniel Golovin, Sharat Chikkerur, Michael Young, Tom Boulos, Eugene Davydov, Dietmar Ebner, D. Sculley, H. Brendan McMahan
Publikováno v:
KDD
Predicting ad click-through rates (CTR) is a massive-scale learning problem that is central to the multi-billion dollar online advertising industry. We present a selection of case studies and topics drawn from recent experiments in the setting of a d