Alimama Tech
Nov 23, 2022 · Artificial Intelligence
Enhancing Recommendation System Consistency via Feedback Cascading and LTR Models
The paper proposes a teacher‑student architecture that uses feedback cascading and learning‑to‑rank models with ΔnDCG‑based loss and bid‑aware optimizations to align coarse and fine sorting stages, address sparse data, and improve recommendation consistency, achieving a 4.8% RPM lift in A/B tests.
Feedback CascadingLTR ModelsMachine Learning
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