Davorin Kopic

Orcid: 0000-0003-4847-6916

According to our database1, Davorin Kopic authored at least 7 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024

2023
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems.
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.
CoRR, 2022

Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations.
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.
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.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021


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