=Paper=
{{Paper
|id=Vol-2741/paper-02
|storemode=property
|title=Fairness and Transparency in Ranking
|pdfUrl=https://ceur-ws.org/Vol-2741/paper-02.pdf
|volume=Vol-2741
|authors=Carlos Castillo
|dblpUrl=https://dblp.org/rec/conf/sigir/Castillo20
}}
==Fairness and Transparency in Ranking==
<pdf width="1500px">https://ceur-ws.org/Vol-2741/paper-02.pdf</pdf>
<pre>
         Fairness and Transparency in Ranking

                                 Carlos Castillo

                            Universitat Pompeu Fabra
                                    Barcelona
                                      Spain
                                 chato@acm.org



1   Abstract
Ranking in Information Retrieval (IR) has been traditionally evaluated from
the perspective of the relevance of search engine results to people searching for
information, i.e., the extent to which the system provides “the right information,
to the right people, in the right way, at the right time.” However, people in
current IR systems are not only the ones issuing search queries, but increasingly
they are also the ones being searched. This raises several new problems in IR that
have been addressed in recent research, particularly with respect to fairness/non-
discrimination, accountability, and transparency.
    The talk is based on the paper “Fairness and Transparency in Ranking”
published in ACM SIGIR Forum 52(2), p. 64–71, January 20191 .




  Copyright © 2020 for this paper by its authors. Use permitted under Creative
  Commons License Attribution 4.0 International (CC BY 4.0). BIRDS 2020, 30 July
  2020, Xi’an, China (online).
1
  Available at http://sigir.org/wp-content/uploads/2019/01/p064.pdf.


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