Aggregating User Preferences while Ensuring Equity, Diversity, and Inclusion using Graph Summarization
Aggregating the preferences of diverse user groups into a collective outcome raises fundamental challenges of equity, diversity, and inclusion (EDI): classical aggregation rules such as Borda and Condorcet have no mechanism to prevent results from systematically favoring majority groups, collapsing onto homogeneous items, or under-representing minorities. We address this problem through EDI-constrained graph summarization. User preferences are modeled as a weighted attributed bipartite graph, and a greedy coarsening algorithm iteratively merges user nodes while enforcing three structural EDI criteria: an equity gap constraint ($ΔE$), an intra-list diversity constraint (ILD), and a group i...
| Authors | Adji Marieme Sita Cissé, Malek Mouhoub |
|---|---|
| Primary category | cs.SI |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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