practicosIIC3633-2020

Críticas a lecturas de papers semanales y laboratorios prácticos de Sistemas Recomendadores.

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
.DS_Store		.DS_Store
Content_Based_recomendacion_imagenes.ipynb		Content_Based_recomendacion_imagenes.ipynb
FastFM_factorization_machines.ipynb		FastFM_factorization_machines.ipynb
GRU4Rec_c_DT.ipynb		GRU4Rec_c_DT.ipynb
Implicit_implicit_feedback.ipynb		Implicit_implicit_feedback.ipynb
README.md		README.md
Reinforcement_Learning_Recsim.ipynb		Reinforcement_Learning_Recsim.ipynb
content_based_books_recommender.ipynb		content_based_books_recommender.ipynb
lectura1-1.md		lectura1-1.md
lectura1-2.md		lectura1-2.md
lectura10-1.md		lectura10-1.md
lectura11-1.md		lectura11-1.md
lectura2-1.md		lectura2-1.md
lectura2-2.md		lectura2-2.md
lectura3-1.md		lectura3-1.md
lectura3-2.md		lectura3-2.md
lectura4-1.md		lectura4-1.md
lectura4-2.md		lectura4-2.md
lectura5-1.md		lectura5-1.md
lectura8-1.md		lectura8-1.md
lectura8-2.md		lectura8-2.md
lectura8-3.md		lectura8-3.md
lectura9-1.md		lectura9-1.md
lectura9-2.md		lectura9-2.md
pyRecLab_MostPopular.ipynb		pyRecLab_MostPopular.ipynb
pyRecLab_SlopeOne.ipynb		pyRecLab_SlopeOne.ipynb
pyRecLab_iKNN.ipynb		pyRecLab_iKNN.ipynb
pyreclab_svd-2.ipynb		pyreclab_svd-2.ipynb
tutorial_pyreclab_01.ipynb		tutorial_pyreclab_01.ipynb

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