This repository contains official implementation of the algorithms defined in our paper titled, Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu and Amitabha Bagchi, "FairFoody: Bringing in Fairness in Food Delivery", in AAAI, 2022.
These instructions will get you a copy of the project up and running on your local machine.
The algorithms are implemented in C++11 (GCC 7.4.0) and evaluation scripts are implemented in Python 3 (Python 3.6)
Setup a conda environment which includes packages required to run evaluation scripts:
conda env create -f environment.yml
conda activate ff_evn
The code for simulation and algorithms defined in our paper is provided in ./code. An anonymized version of the proprietary dataset will be made available once an agreement is signed. Instructions to request data are available at this link.
@inproceedings{fairfoody,
author = {Anjali Gupta and Rahul Yadav and Ashish Nair and Abhijnan Chakraborty and Sayan Ranu and Amitabha Bagchi},
title = {FairFoody: Bringing in Fairness in Food Delivery},
booktitle = {Proc.~AAAI},
year = {2022}
}