Search Results for author: Oren Somekh

Found 7 papers, 0 papers with code

Audience Prospecting for Dynamic-Product-Ads in Native Advertising

no code implementations12 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.

Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native

no code implementations8 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.

Collaborative Filtering

Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising

no code implementations8 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.

Collaborative Filtering

Conversion-Based Dynamic-Creative-Optimization in Native Advertising

no code implementations13 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).

Attribute Collaborative Filtering

Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design

no code implementations10 Jun 2014 Oren Anava, Shahar Golan, Nadav Golbandi, Zohar Karnin, Ronny Lempel, Oleg Rokhlenko, Oren Somekh

It is well known that collaborative filtering (CF) based recommender systems provide better modeling of users and items associated with considerable rating history.

Collaborative Filtering Recommendation Systems

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