GitHub / saadabdullah-15 / Recommender_System_Ecommerce
A machine learning-based recommender system for e-commerce products, built using collaborative filtering techniques (User-User & Item-Item CF), SVD-based matrix factorization, and correlation-based recommendations to enhance product discovery and user experience.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/saadabdullah-15%2FRecommender_System_Ecommerce
PURL: pkg:github/saadabdullah-15/Recommender_System_Ecommerce
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 311 KB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: collaborative-filtering, data-science, ecommerce, machine-learning, python, recommender-system, surprise, svd