The Significance of Enhancing Data Fairness in Educational Recommender Systems
Author:
Affiliation:
1. University of Craiova,Computer and Information Technology Department,Craiova,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10274875/10274907/10274917.pdf?arnumber=10274917
Reference31 articles.
1. Bias and Debias in Recommender System: A Survey and Future Directions
2. Recommender systems to support learners’ Agency in a Learning Context: a systematic review
3. A survey on trustworthy recommender systems;ge;CoRR,2022
4. Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems
5. FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback
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