sanjeebtiwary/E-Commerce-Product-Recommendation

E-commerce businesses are always striving to provide personalized experiences to their customers to increase engagement and loyalty. One way to achieve this is through product recommendation systems. In this project, we will build a recommendation system for an e-commerce website using batch processing and stream processing techniques.

27
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 9 / 25
Community 13 / 25

How are scores calculated?

Stars

10

Forks

2

Language

Jupyter Notebook

License

GPL-3.0

Last pushed

May 26, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sanjeebtiwary/E-Commerce-Product-Recommendation"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.