FairFRESH: A Neuro-Symbolic Framework for Fair and Explainable Household Food Recommendation

Kodur Sai Vinay Sathvik, Kakoli Bora, Tejaswini R. M · 2026 · arXiv

DOI: 10.48550/arXiv.2610.31506 · open-access PDF

Abstract

Recommender systems typically serve one user at a time. However, in households, members share a finite pantry and follow different dietary rules, making independent recommendations prone to resource conflicts and dietary violations. We formulate household food recommendation as constrained fair division and present FairFRESH, a neuro-symbolic framework that learns per-member utilities, allocates foods under explicit welfare objectives, enforces dietary rules through a deterministic filter, and explains recommendations using Shapley and Banzhaf attributions. Theoretically, we show that no finit

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