the-algorithm/README.md at main · twitter/the-algorithm

Source code for Twitter's Recommendation Algorithm - the-algorithm/README.md at main · twitter/the-algorithm

SimClusters: Community-based Representations for Heterogeneous Recommendations at Twitter Overview SimClusters is as a general-purpose representation layer based on overlapping communities into which users as well as heterogeneous content can be captured as sparse, interpretable vectors to support a multitude of recommendation tasks. We build our user and tweet SimClusters embeddings based on the inferred communities, and the representations power our personalized tweet recommendation via our online serving service SimClusters ANN. For more details, please read our paper that was…

saved by

• Adithya V
• Neil Warren

related reading

• GitHub - igorbrigadir/awesome-twitter-algo: The release of the Twitter algorithm, annotated for recsys · GitHubgithub.com
• GitHub - eleurent/twitter-graph: Fetch and visualize the graph of your Twitter friends and followers.github.com
• A Gentle Introduction to Graph Neural Networksdistill.pub
• awesome-twitter-algo/masknet.md at main · igorbrigadir/awesome-twitter-algo · GitHubgithub.com
• Circuit Tracing: Revealing Computational Graphs in Language Modelstransformer-circuits.pub
• Analysis of 2025 X Algorithmgist.github.com
• GitHub - ansonyuu/matchmaking: Embedding space of names clustered based on their interests using the sentence-transformers all-MiniLM-L6-v2 modelgithub.com
• GitHub - zhoushengisnoob/DeepClustering: Methods and Implements of Deep Clusteringgithub.com
• The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time.jalammar.github.io
• Effect of recommending users and opinions on the network connectivity and idea generation processarxiv.org
• Hierarchical Navigable Small Worlds (HNSW) | Pineconepinecone.io
• Announcing ScaNN: Efficient Vector Similarity Searchai.googleblog.com