Davorin Kopic

According to our database, Davorin Kopic authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second.

Blaz Skrlj, Benjamin Ben-Shalom, Grega Gaspersic, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopic, Andraz Tori

CoRR, 2024

2023

Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models.

Jan Hartman, Assaf Klein, Davorin Kopic, Natalia Silberstein

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Feature embedding in click-through rate prediction.

Samo Pahor, Davorin Kopic, Jure Demsar

CoRR, 2022

Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations.

Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding.

Jan Hartman, Davorin Kopic

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

Scaling TensorFlow to 300 million predictions per second.

Jan Hartman, Davorin Kopic

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021