Fairness metrics and bias mitigation strategies for rating predictions

Author:

Ashokan Ashwathy,Haas ChristianORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference87 articles.

1. Transparency in fair machine learning: the case of explainable recommender systems;Abdollahi,2018

2. Managing popularity bias in recommender systems with personalized re-ranking;Abdollahpouri,2019

3. The unfairness of popularity bias in recommendation;Abdollahpouri,2019

4. Fair regression: Quantitative definitions and reduction-based algorithms;Agarwal,2019

5. Bias on the web;Baeza-Yates;Communications of the ACM,2018

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3. Survey on Machine Learning Biases and Mitigation Techniques;Digital;2023-12-20

4. Do psychological attributes of online review play role in predicting rating? An empirical investigation;Computers in Human Behavior;2023-11

5. Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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