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Author:
Patrik Dokoupil
License:
MIT
Summary:
Group recommender systems for Python: results aggregation and profile aggregation as first-class citizens behind one API. Preference aggregation, group recommendation, fairness.
Latest version:
0.0.3
Required dependencies:
numpy
|
pandas
|
platformdirs
|
scipy
|
tqdm
Optional dependencies:
datasets
|
implicit
|
lenskit
|
ltp
|
matplotlib
|
mkdocs-material
|
mkdocstrings
|
mypy
|
pytest
|
recbole
|
ruff
|
scikit-learn
|
seaborn
|
streamlit
|
torch
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