2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.IR2025★ 2 cited
Practical Multi-Task Learning for Rare Conversions in Ad Tech
Yuval Dishi, Ophir Friedler, Yonatan Karni +2
We present a Multi-Task Learning (MTL) approach for improving predictions for rare (e.g., <1%) conversion events in online advertising. The conversions are classified into "rare" o…
cs.IR2025
DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation
Blaž Škrlj, Yonatan Karni, Grega Gašperšič +8
The Deep and Cross architecture (DCNv2) is a robust production baseline and is integral to numerous real-life recommender systems. Its inherent efficiency and ability to model inte…
cs.IR2023
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems
Blaž Škrlj, Nir Ki-Tov, Lee Edelist +5
Real-world production systems often grapple with maintaining data quality in large-scale, dynamic streams. We introduce Drifter, an efficient and lightweight system for online feat…