Gender fairness in information retrieval systems

Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri
January 2022

Abstract

This paper presents approaches for ensuring gender fairness in information retrieval systems, addressing bias issues in search and ranking.

Type
Conference paper
Publication
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

This work focuses on ensuring gender fairness in information retrieval systems.

Gender Fairness Information Retrieval Bias Mitigation Fair Search Ranking Systems
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.