README.md.global

# FA*IR Library

The repository contains the FA*IR library for fair rankings in Java and in Python:

- [FA*IR for Java 8+](https://github.com/fair-search/fairsearch-core/tree/master/java)
- [FA*IR for Python 3+](https://github.com/fair-search/fairsearch-core/tree/master/java)

## Credits

The FA*IR algorithm is described on this paper:

* Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates: "[FA*IR: A Fair Top-k Ranking Algorithm](https://doi.org/10.1145/3132847.3132938)". Proc. of the 2017 ACM on Conference on Information and Knowledge Management (CIKM).

This code was developed by Ivan Kitanovski and Tom Sühr based on code by Pere Urbón Bayes and Carlos Castillo.

## See also

See also: [FA*IR plug-in for ElasticSearch](https://github.com/fair-search/fairsearch-elasticsearch-plugin)