Jan 23, 2024 · Backend Development

How Bilibili Scaled Its Relationship Graph: From MySQL to KV, Caches, and Hotspot Resilience

This article details how Bilibili’s relationship‑chain service evolved from a MySQL‑based design to a KV store with multi‑layer caching, introducing bloom‑filter‑enhanced Redis caches and hotspot mitigation techniques to sustain near‑million QPS traffic while maintaining data accuracy and high availability.

BackendKV StoreScalability

0 likes · 17 min read

How Bilibili Scaled Its Relationship Graph: From MySQL to KV, Caches, and Hotspot Resilience

DataFunTalk

Mar 4, 2020 · Artificial Intelligence

Building and Applying Relationship Graphs at Beike Real Estate: Architecture, Embedding, and Recommendation

The talk explains how Beike Real Estate constructs a large‑scale relationship graph from billions of user, house, and agent interactions, quantifies edge strengths, builds homogeneous and heterogeneous sub‑graphs, derives graph capabilities such as node influence, embedding, similarity and relation prediction, and finally deploys these capabilities in multi‑degree queries, house‑similarity recommendations and B‑side agent assistance, achieving measurable CTR improvements.

AIKnowledge Graphgraph embedding

0 likes · 17 min read

Building and Applying Relationship Graphs at Beike Real Estate: Architecture, Embedding, and Recommendation