⚖️ Neural network for product matching, aka classifying whether two product titles represent the same entity
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Updated
May 28, 2023 - Python
⚖️ Neural network for product matching, aka classifying whether two product titles represent the same entity
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.
The code of Team Rhinobird for Mining the Web of HTML-embedded Product Data Task One at ISWC2020
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.
Product Matching using Shopee - Southeast Asia and Taiwan based grocery store. Model used are BERT for title matches and EfficientNet for Image Classification
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.
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