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notebooks / py / recsym_playground.py
#%% [markdown]
# #RecSym Playground
# The notebook contains several showcases that I tried when learning recommender systems from different sources.

#%% matrix factorization


#%% collaborative filtering - implicit versus explicit rating

#%% item-based CF vs. user-based CF

#%% SVD