product-matching
There are 5 repositories under product-matching topic.
Mascerade / supervised-product-matching
⚖️ Neural network for product matching, aka classifying whether two product titles represent the same entity
Language:Python 64wbsg-uni-mannheim / productbert-intermediate
This repository contains code and data download scripts for the paper "Intermediate Training of BERT for Product Matching" by Ralph Peeters, Christian Bizer and Goran Glavaš.
Language:Python 34This repository contains code and extensive prompt examples to reproduce and extend the experiments in our papers "Using ChatGPT for Entity Matching" and "Entity Matching using Large Language Models".
Language:Jupyter Notebook 29This repository contains code and data download scripts for the paper "Using schema.org annotations for training and maintaining product matchers" by Ralph Peeters, Anna Primpeli, Benedikt Wichtlhuber and Christian Bizer.
Language:Jupyter Notebook 15englishbook / product-matching
The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020
Language:Python 14Unsupervised Product Matching; A product classifier algorithm that groups products into clusters of similarity based on their title using combinations.
Language:C++ 11paritoshtripathi935 / Product-Matching
The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.
Language:Python 11Mockingjay-liu / RAEA-model-for-Entity-Alignment
The Pytorch implementation of RAEA model, corresponding to the World Wide Wed 2023 paper "Cross-platform Product Matching based on Entity Alignment of Knowledge Graph with RAEA model", which achieves competive performance on entity alignment in DBP15k and DBP100k datasets.
Language:Python 9sayan0506 / Product-Matching-with-Shelf-images-using-Yolov4-following-product-recognition-using-Resnet50v2
Matching givewn product in the shelf
Language:Jupyter Notebook 6- Language:Python 3
ilias-ant / entity-resolution-with-monetdb
A proof-of-concept entity resolution approach, with Tensorflow, inside a MonetDB.
Language:Jupyter Notebook 2mramanindia / product_matching_with_shelf_images
Finding Product using captured product Images in the shelf Images for tracking location of Product in the store.
Language:Jupyter Notebook 2Ruparna25 / Product_Matching_Using_CNN
Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification
Language:Python 2yagmurtumukluu / shopee-challenge
code for shopee product matching challenge
Language:Jupyter Notebook 2- Language:Jupyter Notebook 1
