X Recommendation Algorithm

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

73868 stars · 13286 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The open-source source code for X's (formerly Twitter) recommendation algorithm, a set of services and jobs that serve personalized feeds of posts across X product surfaces like the For You timeline, search, and notifications. It includes data pipelines, embedding models (SimClusters, TwHIN), trust-and-safety models, and serving frameworks such as product-mixer and navi.

Use cases

• understand how the X For You feed ranking works
• study large-scale recommendation systems in production
• learn how social media feeds are personalized
• research community detection and graph embeddings at scale
• build a recommendation service for a social feed
• study ML model serving architecture in Scala and Rust

When to choose

• you want to inspect or research a real production-scale recommendation algorithm
• you need reference implementations of candidate sourcing, ranking, and feed mixing
• you are studying social graph embeddings or user interaction prediction

When to avoid

• you want a plug-and-play recommendation library for your own app
• you need a small, self-contained project that runs without X's infrastructure
• you require a permissive license since it is AGPL-3.0

Facets

service · maturity active

machine-learning search-engine streaming data-science machine-learning social-media analytics large-language-models jvm rust cloud recommendation-system feed-ranking scala social-graph embeddings content-ranking docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="twitter/the-algorithm")