https://github.com/leosolar8/recommender-ecommerce-ml

Machine Learning Microservice for Personalized Product Recommendations Trains collaborative filtering and deep learning models on e-commerce order history data. Serves recommendations via a FastAPI REST API, packaged with Docker, and deployed at scale using Kubernetes + Helm.
https://github.com/leosolar8/recommender-ecommerce-ml

ai collaborative-filtering deep-learning docker ecommerce fastapi helm kubernetes machine-learning microservice personalization recommender-system

Last synced: 3 months ago
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Machine Learning Microservice for Personalized Product Recommendations Trains collaborative filtering and deep learning models on e-commerce order history data. Serves recommendations via a FastAPI REST API, packaged with Docker, and deployed at scale using Kubernetes + Helm.

• Host: GitHub
• URL: https://github.com/leosolar8/recommender-ecommerce-ml
• Owner: LEOSOLAR8
• Created: 2025-09-25T09:32:05.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2025-09-25T09:33:26.000Z (9 months ago)
• Last Synced: 2026-01-07T04:15:21.183Z (6 months ago)
• Topics: ai, collaborative-filtering, deep-learning, docker, ecommerce, fastapi, helm, kubernetes, machine-learning, microservice, personalization, recommender-system
• Language: Python
• Homepage:
• Size: 722 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Ecommerce Microservices – Machine Learning Recommender