DataFunTalk
Dec 17, 2020 · Artificial Intelligence
Context‑Aware Re‑ranking in Industrial Recommendation Systems: Design and Practice of a List Retrieval System
The article presents a comprehensive study of re‑ranking in large‑scale industrial recommendation pipelines, identifies four key challenges—context awareness, permutation specificity, computational complexity, and business constraints—and proposes a two‑stage List Retrieval System that combines fast sequence search and a generative re‑ranking network with a deep context‑wise model, achieving significant online gains across multiple Taobao feed scenarios.
Recommendation systemscontext-awaredeep learning
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