https://github.com/axelsgit/fashion-recommender
This project builds a hybrid and visual recommender system for (luxury) fashion products, simulating a real-world e-commerce scenario (e.g., Zalando, Farfetch, Fashion Nova). It integrates visual filtering, collaborative filtering, content-based filtering, and hybrid models, enriched with user metadata and interaction recency.
https://github.com/axelsgit/fashion-recommender
deepfashion fashion fastapi numpy pandas python resnet-50 sklearn streamlit tensorflow ui-design
Last synced: 3 months ago
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This project builds a hybrid and visual recommender system for (luxury) fashion products, simulating a real-world e-commerce scenario (e.g., Zalando, Farfetch, Fashion Nova). It integrates visual filtering, collaborative filtering, content-based filtering, and hybrid models, enriched with user metadata and interaction recency.
- Host: GitHub
- URL: https://github.com/axelsgit/fashion-recommender
- Owner: axelsgit
- License: mit
- Created: 2025-09-14T09:26:58.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-14T09:51:38.000Z (9 months ago)
- Last Synced: 2025-09-14T11:35:38.039Z (9 months ago)
- Topics: deepfashion, fashion, fastapi, numpy, pandas, python, resnet-50, sklearn, streamlit, tensorflow, ui-design
- Language: Python
- Homepage:
- Size: 1.19 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0