Enabling cross-continent provider fairness in educational recommender systems

Author:

Gómez ElizabethORCID,Shui Zhang CarlosORCID,Boratto LudovicoORCID,Salamó MariaORCID,Ramos GuilhermeORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference64 articles.

1. Recommender Systems Handbook,2015

2. Applying reranking strategies to route recommendation using sequence-aware evaluation;Sánchez;User Model. User Adapt. Interact.,2020

3. Discovering related users in location-based social networks;Torrijos,2020

4. Predicting workout quality to help coaches support sportspeople;Boratto,2018

5. Recommender systems in the healthcare domain: state-of-the-art and research issues;Tran;J. Intell. Inf. Syst.,2020

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1. Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

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3. Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation;Lecture Notes in Computer Science;2024

4. MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels;Lecture Notes in Computer Science;2024

5. A survey on fairness-aware recommender systems;Information Fusion;2023-12

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