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Arpit Bhayani Blogs
001 Ai Topological Sort

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TLDR: Paper Notes - WTF - The Who to Follow Service at Twitter

Date: 2024-08-21 Source: https://arpitbhayani.me/blogs/wtf-the-who-to-follow-service-at-twitter

Overview

Explore Twitter's recommendation system - in-memory graph processing with Cassovary, random walks, and SALSA for user suggestions. These are my notes based on the paper Paper Notes - WTF - The Who to Follow Service at Twitter The paper covers Twitter’s recommendation system designed to suggest new users for others to follow.

Key Points

  • in-memory graph processing on a single server
  • the design of Cassovary - their in-memory graph processing engine
  • combining random walks and SALSA for better recommendations
  • In-Memory Graph Processing on a Single Server: The decision to process the entire Twitter graph in memory on a single server is an interesting design decision.
  • Cassovary: In-Memory Graph Processing Engine: Cassovary was not only a custom-built solution, but it was also open-sourced by Twitter.
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003 Rag Production
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004 Structure Of Llm Chat
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074 3p
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080 Wtf The Who To Follow Service At Twitter
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115 Master Replica Replication
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116 Durability
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  • Random Walks + SALSA: Instead of relying solely on standard ML models, WTF leverages the structure of the graph itself to generate recommendations.

    • Takeaway

    One of the key takeaways is the trade-off between simplicity and scalability.