Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kaplan, Yohay"'
The task of predicting conversion rates (CVR) lies at the heart of online advertising systems aiming to optimize bids to meet advertiser performance requirements. Even with the recent rise of deep neural networks, these predictions are often made by
Externí odkaz:
http://arxiv.org/abs/2401.16432
Autor:
Abutbul, Eliran, Kaplan, Yohay, Krasne, Naama, Somekh, Oren, David, Or, Duvdevany, Omer, Segal, Evgeny
With yearly revenue exceeding one billion USD, Yahoo Gemini native advertising marketplace serves more than two billion impressions daily to hundreds of millions of unique users. One of the fastest growing segments of Gemini native is dynamic-product
Externí odkaz:
http://arxiv.org/abs/2312.07160
Autor:
Aharon, Michal, Kaplan, Yohay, Levy, Rina, Somekh, Oren, Blanc, Ayelet, Eshel, Neetai, Shahar, Avi, Singer, Assaf, Zlotnik, Alex
Yahoo's native advertising (also known as Gemini native) serves billions of ad impressions daily, reaching a yearly run-rate of many hundred of millions USD. Driving the Gemini native models that are used to predict both click probability (pCTR) and
Externí odkaz:
http://arxiv.org/abs/2312.05052
Verizon Media (VZM) native advertising is one of VZM largest and fastest growing businesses, reaching a run-rate of several hundred million USDs in the past year. Driving the VZM native models that are used to predict event probabilities, such as cli
Externí odkaz:
http://arxiv.org/abs/2312.05017
Yahoo Gemini native advertising marketplace serves billions of impressions daily, to hundreds millions of unique users, and reaches a yearly revenue of many hundreds of millions USDs. Powering Gemini native models for predicting advertise (ad) event
Externí odkaz:
http://arxiv.org/abs/2211.11524
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Proceedings of the Forty-Fifth Annual ACM Symposium Theory of Computing; 6/1/2013, p833-842, 10p
Publikováno v:
2013 IEEE 54th Annual Symposium on Foundations of Computer Science; 2013, p320-329, 10p