Recommendation systems · 04
Personalised Recommender
An applied machine learning project comparing collaborative, content-based, and hybrid recommendation strategies with ranking metrics.
PythonSurpriseNumPyFastAPI
Overview
Designed for a simple, confident user experience.
A hybrid recommendation engine combining user behaviour and item similarity to generate relevant, diverse suggestions.
- Collaborative filtering
- Content similarity
- Cold-start strategy
- Precision@K evaluation