Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics

3 February 2022

Papers citing "Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics"

8 / 8 papers shown

Title
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation Václav Blahut Karel Koupil 14 0 0 17 Sep 2024
Distribution-Free Statistical Dispersion Control for Societal Applications Zhun Deng Thomas P. Zollo Jake C. Snell T. Pitassi R. Zemel 19 5 0 25 Sep 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 28 13 0 18 Jan 2023
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter Kyra Yee Alice Schoenauer Sebag Olivia Redfield Emily Sheng Matthias Eck Luca Belli 28 2 0 07 Oct 2022
De-biasing "bias" measurement K. Lum Yunfeng Zhang Amanda Bower 15 27 0 11 May 2022
System Analysis for Responsible Design of Modern AI/ML Systems Virginia Goodwin R. Caceres 22 0 0 19 Apr 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019