De-biasing relevance judgements for fair ranking

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Bhaskar Mitra, Morteza Zihayat, Ebrahim Bagheri
January 2023

Abstract

This paper presents methods for de-biasing relevance judgements to achieve fair ranking, improving equity in information retrieval systems.

Type
Conference paper
Publication
European Conference on Information Retrieval

This work introduces de-biasing approaches for fair ranking systems.

De-Biasing Relevance Judgements Fair Ranking Bias Mitigation Information Retrieval
Shirin Seyedsalehi
PhD Student (Alumni)

Shirin Seyedsalehi is a former PhD student and alumna of the Human-Centered Machine Intelligence Lab.

Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.