Multiplicative LSTM for Recommendations
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.gitignore Initial commit Apr 12, 2018
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README.rst Add link to blog post Aug 7, 2018
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README.rst

mlstm4reco

Benchmark multiplicative LSTM vs. ordinary LSTM. Read this blog post about the evaluation.

Description

Create a conda environment with:

conda env create -f environment-abstract.yml

or use:

conda env create -f environment-concrete.yml

to perfectly replicate the environment. Then activate the environment with:

source activate mlstm4reco

and install it with:

python setup.py develop

Then change into the experiments directory and run:

./run.py 10m -m mlstm

to run the mlstm model on the Movielens 10m dataset. Check out ./run.py -h for more help.

Note

This project has been set up using PyScaffold 3.0.2. For details and usage information on PyScaffold see http://pyscaffold.org/.