Aggregating User Preferences while Ensuring Equity, Diversity, and Inclusion using Graph Summarization

cs.SI, cs.AI

Submitted: 2026-10-05

Updated: 2026-10-05

Comments: 22 pages, 3 figures. Interactive dashboard: https://sitaacisse-boop.github.io/EDI/

Project page: https://sitaacisse-boop.github.io/EDI

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF
• Proportional Fairness in Clustering: A Social Choice Perspective
• User Fairness in Recommender Systems
• Graph Summarization Methods and Applications: A Survey
• A Comprehensive Survey on Graph Summarization with Graph Neural Networks
• New Fairness Metrics for Recommendation that Embrace Differences

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