TREC 2020 Fair Ranking Track

Click here to switch to the current Fair Ranking Track webpage.

The TREC Fair Ranking track evaluates systems according to how well they fairly rank documents. The 2020 focuses on scholarly search and fairly ranking academic abstracts and papers from authors belonging to different groups.

You can find all the information about the 2019 TREC Fair Ranking track here.





General references to the TREC Fair Ranking track should use the following citation,
	Author = {Asia J. Biega and Fernando Diaz and Michael D. Ekstrand and Sebastian Kohlmeier},
	Booktitle = {The Twenty-Eighth Text REtrieval Conference (TREC 2019) Proceedings},
	Title = {Overview of the TREC 2019 Fair Ranking Track},
	Year = {2019}}
If you use a specific dataset, please cite the notebook paper associated with the data.


Headshot of Asia Biega
Asia Biega
Microsoft Research
Headshot of Fernando Diaz
Fernando Diaz
Microsoft Research
Headshot of Michael Ekstrand
Michael Ekstrand
People and Information Research Team (PIReT)
Boise State University
Headshot of Sebastian Kohlmeier
Sebastian Kohlmeier
Semantic Scholar
Allen Institute
Headshot of Sergey Feldman
Sergey Feldman
Semantic Scholar
Allen Institute