cowjen01/repsys
Framework for Interactive Evaluation of Recommender Systems
This framework helps businesses, e-commerce managers, or content platforms quickly test and understand how well their recommendation systems are performing. You feed it your customer interaction data and existing recommendation models, and it produces visual reports and an interactive web preview of how different models suggest items. It's designed for anyone managing or developing personalized user experiences.
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Use this if you need to visually compare, analyze, and fine-tune different recommendation algorithms for your products or content.
Not ideal if you're looking for a pre-built, ready-to-deploy recommendation engine without needing to develop or evaluate your own models.
Stars
35
Forks
5
Language
JavaScript
License
GPL-3.0
Category
Last pushed
Aug 05, 2023
Commits (30d)
0
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