MuhammadAhmadZia/Ecommerce-Product-Rating-Prediction-using-Bin-Wise-Quantized-CatBoost: Ecommerce-Product-Rating-Prediction-using-Bin-Wise-Quantized-CatBoost
Abstract
Green ML framework using Bin-Wise Quantized CatBoost Regression for sustainable and high-accuracy e-commerce product rating prediction, reducing CO₂ emissions by up to 66% while maintaining near-perfect predictive performance.
Fields of Study & Subjects
Recommender Systems and Techniques
Data Mining and Machine Learning Applications
Sentiment Analysis and Opinion Mining
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN