This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.
python
data-science
machine-learning
matrix-factorization
recommendation-system
content-based-recommendation
music-recommendation-system
user-user-filtering
popularity-based-recommendation
ensamble-model
item-item-filtering
clustering-based-recommendation
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Updated
Oct 31, 2024 - Jupyter Notebook