BouzCS/Fashion_Recommender_System

Website application for fashion recommendation using machine learning.

39
/ 100
Emerging

This website application helps online fashion retailers improve customer experience and boost sales by offering personalized product suggestions. You provide a catalog of apparel items with details like images, brands, colors, and titles. The system then recommends similar products to shoppers, helping them discover items they might like. This is for e-commerce store owners or product managers looking to enhance their online shopping platforms.

No commits in the last 6 months.

Use this if you want to implement an item-to-item recommendation system for your fashion e-commerce site to suggest similar products to customers based on their current viewing choices.

Not ideal if you need a recommendation system that relies purely on user behavior across a wide range of product categories, beyond just similar items in fashion.

e-commerce online retail fashion merchandising product discovery customer experience
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

16

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

Oct 04, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BouzCS/Fashion_Recommender_System"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.