This repository contains the code to reproduce the results described in the paper

Lucas Maystre, Victor Kristof, Matthias Grossglauser, Pairwise Comparisons with Flexible Time-dynamics, KDD 2019.

Start by cloning the Git repository:

git clone https://github.com/lucasmaystre/kickscore-kdd19.git

Next, download the data from Zenodo. Extract the contents of the archive inside the top-level directory of the repository, by using

tar xvf kickscore-kdd-20190725.tar.gz

Set up an environment variable pointing to the data folder:

export KSEVAL_DATASETS=path/to/data

You might want to put this line in your ~/.bashrc to avoid typing it every time you open a terminal. Then, install the required Python libraries:

pip install -r requirements.txt

Now you can start a notebook server as follows:

cd notebooks
jupyter notebook