GitHub - metzzo/deep_recsys: Achieves 0.55 MRR (and 0.64 MRR on the specific subset of data) at the RecSys2019 challenge using a two stage deep neural network architecture. More information can be gathered from the Documentation.pdf in particular at the "Deep Learning Model" section..

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Name		Name	Last commit message	Last commit date
Latest commit History 26 Commits
dataset		dataset
network		network
utility		utility
.gitignore		.gitignore
Documentation.pdf		Documentation.pdf
autoencoder.py		autoencoder.py
create_submission.py		create_submission.py
ranking_configs.py		ranking_configs.py
recommender_configs.py		recommender_configs.py
requirements.txt		requirements.txt
train_ranking.py		train_ranking.py
train_recommender.py		train_recommender.py
visualization_performance_by_session_length.py		visualization_performance_by_session_length.py

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Achieves 0.55 MRR (and 0.64 MRR on the specific subset of data) at the RecSys2019 challenge using a two stage deep neural network architecture. More information can be gathered from the Documentation.pdf in particular at the "Deep Learning Model" section..

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