Case Study: Real-Time Feature Store for Click-Through Prediction

case-study
Received: Mar 12, 2024
Published: Apr 11, 2024
Authors: Layla Scott ✉ Aarav Johnson

Abstract

An ad-tech firm deployed a streaming feature store with sliding windows and de-duplication, improving CTR AUC by 2.3%.

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Cite this article

Scott, L. & Johnson, A. (2024). Case Study: Real-Time Feature Store for Click-Through Prediction. Research Explorations in Global Knowledge & Technology (REGKT), 3 (3). Retrieved from https://regkt.com/article.php?id=244&slug=case-study-real-time-feature-store-ctr-prediction

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