The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge
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Updated
Aug 3, 2020 - Jupyter Notebook
The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge
Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.
Build a fastText product classification model that can predict a normalized category name for a product, given an unstructured textual representation.
Machine Learning - Multiclass Classification
36-system open taxonomy knowledge graph: NAICS, ISIC, HS, SOC, ISCO, ESCO, CPC, UNSPSC, Patent CPC, GDPR, and more - all connected by crosswalk edges. REST API + MCP server.
Source Code for User Bias Removal in Fine Grained Sentiment Analysis (CODS-COMAD 2018, DAB@CIKM 2017)
Categorize and classify anything into a taxonomy or categories using an API that utilizes ChatGPT. Use cases: Classify products into a taxonomy. Classify texts/paragraphs based on predefined categories. Resolve complex taxonomy problems.
End-to-end MLOps pipeline for multimodal e-commerce product classification (text + image) — ingestion, training, inference and monitoring.
Classify e-commerce product descriptions into categories (Household, Books, Electronics, Clothing & Accessories) using SVM and Random Forest models with TF-IDF and Word2Vec representations. Includes data preprocessing, hyperparameter tuning, and model evaluation for performance comparison.
CentraleSupélec/OpenClassrooms Data Scientist 2024-2025 - Projet 6
基于LLM+向量检索的铁路商品分类识别系统,支持单条识别和Excel批量识别
[FRANCAIS]Étude comparative de 10 méthodes d'extraction de features pour e-commerce de luxe | [ENGLISH] Comparative study of 10 feature extraction methods (vision + NLP) for luxury e-commerce classification
Classification de produits avec leurs images et leurs descriptions.
A clean, modular, and ML-powered pipeline for grouping and classifying electronic product listings (Laptops & TVs) from noisy vendor specifications using SBERT embeddings, threshold tuning, and confidence scoring. Includes advanced insights, bundle detection, and optional bonus challenges.
RAG assisted LLM tool and vector embeddings creator for AI enrichment pipeline, to assign GS1 standard categories into messy product data. Fully configurable and adaptable to various tools. Version 2 of the product classifier.
AI-powered product classification system using Keras and TensorFlow with multilingual support
Deep Learning for product classification with NLP
Identification of fashion products using deep learning
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