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09/04/2023
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems
Real-world production systems often grapple with maintaining data qualit...
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07/25/2023
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models
In this work, we introduce the notion of Context-Based Prediction Models...
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09/29/2022
Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations
Hyperparameter optimization is the process of identifying the appropriat...
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09/20/2022
Feature embedding in click-through rate prediction
We tackle the challenge of feature embedding for the purposes of improvi...
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08/03/2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding
In this work, we present a scalable and efficient system for exploring t...
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09/20/2021