Xiaohongshu Recommendation Engineering Architecture: Graph‑Based Design and Hot‑Deployment Practices

This article presents Xiaohongshu's evolving recommendation system architecture, detailing the challenges of massive user‑generated content, the adoption of a graph‑based Ark framework for modular and scalable business logic, and the implementation of hot‑deployment techniques to accelerate algorithm iteration and reduce downtime.

AIScalabilityarchitecture

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Xiaohongshu Recommendation Engineering Architecture: Graph‑Based Design and Hot‑Deployment Practices

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Nov 29, 2020 · Databases

Inside ByteGraph: How ByteDance Built a Scalable Distributed Graph Database

ByteGraph is ByteDance's home‑grown distributed graph storage and computation platform that supports massive social‑graph workloads with directed‑property models, Gremlin queries, multi‑layer architecture, adaptive KV storage, hot‑spot handling, indexing, and a roadmap toward cloud‑native, HTAP‑capable graph processing.

ByteGraphGremlindistributed storage

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Inside ByteGraph: How ByteDance Built a Scalable Distributed Graph Database