A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems

A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems

Recommender Systems (RSs) are used to provide users with personalized item recommendations and help them overcome the problem of information overload. Currently, recommendation methods based on deep learning are gaining ground over traditional methods such as matrix factorization due to their abilit...

Full description

Bibliographic Details
Main Authors: Nikzad Chizari, Niloufar Shoeibi, María N. Moreno-García
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Electronics
Subjects:
recommender systems
Graph Neural Network (GNN)
bias amplification
average popularity
Gini Index
sensitive features
Online Access:https://www.mdpi.com/2079-9292/11/20/3301

Internet

https://www.mdpi.com/2079-9292/11/20/3301

Similar Items