⚖️ Neural network for product matching, aka classifying whether two product titles represent the same entity

This 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".

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.

This 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.

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.

The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020

Unsupervised Product Matching; A product classifier algorithm that groups products into clusters of similarity based on their title using combinations.

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.

Matching givewn product in the shelf

Finding Product using captured product Images in the shelf Images for tracking location of Product in the store.

A proof-of-concept entity resolution approach, with Tensorflow, inside a MonetDB.

Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification

code for shopee product matching challenge

Internship Assignment

A Python-based application designed to automate the process of matching and comparing product listings across different platforms.