Jinal17/Ecommerce-Product-Matching
E-Commerce Product Matching using Deep Neural Networks
This helps e-commerce retailers and marketplace managers automatically identify duplicate product listings on their platform. By analyzing product images and text descriptions, it groups identical products together, even if listed by different sellers or with slight variations. The result is a cleaner product catalog and a better shopping experience for customers.
No commits in the last 6 months.
Use this if you manage a large e-commerce platform and need to automatically detect and group identical products posted by multiple sellers using their images and descriptions.
Not ideal if you need to match products based on structured data like SKUs or UPCs, or if you are looking for a solution for product recommendation or categorization rather than de-duplication.
Stars
8
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 17, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Jinal17/Ecommerce-Product-Matching"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
prakhargurawa/Product-Category-Prediction
Machine learning pipeline to predict relevant categories based on a product name and product...
jingxuanyang/Shopee-Product-Matching
This repo deals with a Kaggle competition: Shopee - Price Match Guarantee. The purpose is to...
mfalfafa/shopee-price-match-guarantee
Silver Medal Solution for Shopee - Price Match Guarantee competition on Kaggle
vlvink/Marketplace-Image-Processor
This repository is dedicated to solving the test e-commerce task for the educational shift on...
PARKER-X/BarBar
A django ml project that suggest hairstyle using images of user