65 citations · 321 across the 24 of their papers we have counts for
24 papers
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
Alex Shtoff, Michael Viderman, Naama Haramaty-Krasne +3
Factorization machine (FM) variants are widely used in recommendation systems that operate under strict throughput and latency requirements, such as online advertising systems. FMs…
Audience Prospecting for Dynamic-Product-Ads in Native Advertising
Eliran Abutbul, Yohay Kaplan, Naama Krasne +4
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. O…
Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native
Michal Aharon, Yohay Kaplan, Rina Levy +6
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 nat…
Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising
Yohay Kaplan, Naama Krasne, Alex Shtoff +1
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 n…
Function Basis Encoding of Numerical Features in Factorization Machines
Alex Shtoff, Elie Abboud, Rotem Stram +1
Factorization machine (FM) variants are widely used for large scale real-time content recommendation systems, since they offer an excellent balance between model accuracy and low c…
Conversion-Based Dynamic-Creative-Optimization in Native Advertising
Yohay Kaplan, Yair Koren, Alex Shtoff +2
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 US…