DeepFair: Deep Learning for Improving Fairness in Recommender Systems

DeepFair: Deep Learning for Improving Fairness in Recommender Systems

The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both criteria. Here we propose a Deep Learning based Collaborative Filtering algor...

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Bibliographic Details
Main Authors: Jesús Bobadilla, Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2021-05-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
recommendation systems
collaborative filtering
deep learning
Online Access:https://www.ijimai.org/journal/bibcite/reference/2862

Internet

https://www.ijimai.org/journal/bibcite/reference/2862

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