Sweet Recommender System

Data

Data and analysis available at https://github.com/kidzik/sweetrs-analysis

BibTeX

@article{kidzinski2017sweetrs,
  title={SweetRS: Dataset for a recommender systems of sweets},
  author={Kidzi{\'n}ski, {\L}ukasz},
  journal={arXiv preprint arXiv:1709.03496},
  year={2017}
}

Website

Available at http://sweetrs.org/

About

The main goal of this project is to create collaborative-filtering dataset and test various algorithms of recommendation.

In order to install it, make sure you have installed:

• django >= 1.2
• python >= 2.5

Using debian packages simply run: $ apt-get install python-django

After cloning the repository type $ cd sweet-recommender-system/src/sweetrs $ python manage.py syncdb $ python manage.py runserver

and enjoy your recommendation system on http://localhost:8000

Feel free to contribute with adding new recommendation algorithms.