no code implementations • 25 Jan 2024 • Alex Shtoff, Yohay Kaplan, Ariel Raviv
A major challenge in training models that predict conversions-given-clicks comes from data sparsity - clicks are rare, conversions attributed to clicks are even rarer.
no code implementations • 12 Dec 2023 • Eliran Abutbul, Yohay Kaplan, Naama Krasne, Oren Somekh, Or David, Omer Duvdevany, Evgeny Segal
One of the fastest growing segments of Gemini native is dynamic-product-ads (DPA), where major advertisers, such as Amazon and Walmart, provide catalogs with millions of products for the system to choose from and present to users.
no code implementations • 8 Dec 2023 • Michal Aharon, Yohay Kaplan, Rina Levy, Oren Somekh, Ayelet Blanc, Neetai Eshel, Avi Shahar, Assaf Singer, Alex Zlotnik
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.
no code implementations • 8 Dec 2023 • Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh
However, we cannot ignore these positive events, as filtering these will cause the model to under predict.
no code implementations • 13 Nov 2022 • Yohay Kaplan, Yair Koren, Alex Shtoff, Tomer Shadi, Oren Somekh
The predicted probabilities are then used in Gemini native auctions to determine which ads to present for every serving event (impression).