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Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Feb 2, 2023 · Operations

Optimizing Xiaohongshu Splash Screen Ads: Flow Selection and Dynamic Decision Mechanisms

Xiaohongshu’s new “traffic‑optimal + dynamic decision” framework models splash‑screen ad allocation as a linear‑programming problem with volume guarantees, continuously adjusts weights via feedback, and pre‑computes cached decisions to preserve fast app startup, thereby boosting click‑through rates while meeting delivery commitments.

CTR improvementLinear ProgrammingSplash Screen
0 likes · 14 min read
Optimizing Xiaohongshu Splash Screen Ads: Flow Selection and Dynamic Decision Mechanisms
Alimama Tech
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 ModelsRecommendation systems
0 likes · 14 min read
Enhancing Recommendation System Consistency via Feedback Cascading and LTR Models