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GRu4Rec in TensorFlow
  1. Python 75.6%
  2. Jupyter Notebook 23.4%
  3. Shell 1.0%
Branch: master
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scripts
.gitignore
README.md
Session4Rec.ipynb
defaults.py
evaluation.py
model_session4rec.py
model_simple_rnn.py
requirements.txt
run_eval.sh
run_train.sh

README.md

session4rec

GRu4Rec in Tensorflow

Get data

Preprocess data

  • change input and output directories in /scripts/preprocess.py
  • python ./scripts/preprocess.py

Results

loss = top1, rnn-size = 100, epochs = 3

  • Recall@20: 0.4243443414791227
  • MRR@20: 0.10790868224055285

References

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