Real time recommendation playground

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Recommender Systemsconcierge
Overview

concierge

A continuous learning collaborative filter1 deployed with a light web server2. Distributed updates are live (real time pubsub + delta training from model snapshots).

Live:

  • exploring redis pubsub updates, and model persistence
  • using redis ordered sets to take incremental trained models and augment them with the latest events
  1. using river-ml
  2. using sanic

Released under the MIT License

Owner
Mark Essel
Tech cofounder @welcotravel
Mark Essel
GitHub Repository
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