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Recommendation Engines · Awesome GitHub Repositories

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Awesome GitHub RepositoriesRecommendation Engines

Algorithms and pipelines that predict and rank items to provide personalized content suggestions to users.

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  • twitter/the-algorithm

    twitter/the-algorithm

    72,764GitHubView on GitHub↗

    The algorithm is a distributed recommendation engine pipeline designed to construct and serve personalized content timelines. It functions as a multi-stage orchestration layer that aggregates candidate content from diverse social graphs and high-dimensional embedding spaces, processing user interaction data to deliver

    Scala

Explore sub-tags

  • Candidate Sourcing PipelinesMulti-stage retrieval systems for gathering potential content items.
  • Content Discovery AlgorithmsMechanisms for identifying and surfacing relevant content from outside a user's immediate social or interest graph.
  • Content Ranking ModelsNeural network-based systems that score and order content items by predicted relevance.
  • Embedding-Based Retrieval
Techniques for finding relevant items by calculating vector similarity between user and content representations.
  • Graph-Based Content DiscoveryAlgorithms that traverse social or interest-based network connections to surface content beyond a user's immediate circle.
  • Recommendation Engine PipelinesDistributed systems orchestrating candidate generation, ranking models, and filtering logic for content delivery.
  • Social Feed Ranking AlgorithmsModels that rank social media content based on predicted user engagement and network relevance.