JingyibySUTsoftware/ECRS_Web

基于深度学习的商品推荐系统,高性能,可承受高并发,可跨平台

38
/ 100
Emerging

This system helps e-commerce businesses provide personalized product recommendations to their customers. It takes customer browsing history and product data as input, then outputs a tailored list of suggested products for each user. Online store managers and e-commerce platform administrators would use this to enhance the shopping experience and boost sales.

No commits in the last 6 months.

Use this if you need a high-performance, scalable product recommendation engine for your e-commerce platform that can handle many users simultaneously.

Not ideal if you are looking for a simple plugin for a small website or do not have the technical expertise to deploy and manage a complex distributed system.

e-commerce product-recommendation online-retail customer-experience digital-merchandising
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 14 / 25

How are scores calculated?

Stars

61

Forks

9

Language

JavaScript

License

Apache-2.0

Last pushed

May 05, 2023

Commits (30d)

0

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