darshil3011/recommendkit
Universal & scalable ready-to-use recommendation system with advanced customisation options for prod-level recommendations across industry domains
This project helps businesses quickly set up and train a recommendation system to suggest relevant products, content, or services to their users. You provide data on users, items, and their past interactions, and it outputs personalized recommendations. This is ideal for e-commerce managers, content strategists, or social media platform managers looking to enhance user engagement and drive conversions.
Use this if you need to deploy a robust, scalable recommendation system for e-commerce, content platforms, or social media, and want a ready-to-use solution with flexible customization.
Not ideal if you're looking for a simple, rule-based recommendation engine for a small, static catalog with no user interaction data.
Stars
14
Forks
5
Language
Python
License
—
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
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