Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems. - Blaz Skrlj; Nir Ki-Tov; Lee Edelist; Natalia Silberstein; Hila Weisman-Zohar; Blaz Mramor; Davorin Kopic; Naama Ziporin (ORSUM@RecSys, 2023)

OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking. - Blaz Skrlj; Blaz Mramor (RecSys, 2023)

Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems. - Miha Malensek; Blaz Skrlj; Blaz Mramor; Jure Demsar (NORMalize@RecSys, 2024)

DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation. - Blaz Skrlj; Yonatan Karni; Grega Gaspersic; Blaz Mramor; Yulia Stolin; Martin Jakomin; Jasna Urbancic; Yuval Dishi; Natalia Silberstein; Ophir Friedler; Assaf Klein (CoRR, 2025)