Addressing gender-related performance disparities in neural rankers

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

Abstract

This paper presents methods for addressing gender-related performance disparities in neural rankers, improving fairness in ranking systems.

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

This work addresses performance disparities in neural ranking systems.

Gender Disparities Neural Rankers Performance Analysis Fairness Information Retrieval
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.