Real time recommendation playground

Mark Essel

Last update: Nov 7, 2022

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Recommender Systems concierge

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

using river-ml
using sanic

Released under the MIT License

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Owner

Mark Essel

Tech cofounder @welcotravel

GitHub

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Real time recommendation playground

Related tags

Overview

concierge

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