βš–οΈ Explainable Multi-Stakeholder Recommender

A multi-objective decision system balancing user preferences, merchant fairness, and environmental constraints.

Technical formulation

Generates ranked items by maximizing the weighted utility score: U=wuserβ‹…Spref+wfairβ‹…Sfairnessβˆ’wenvβ‹…CpressureU = w_{user} \cdot S_{pref} + w_{fair} \cdot S_{fairness} - w_{env} \cdot C_{pressure} subject to strict capacity constraint filters.

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Dataset used to train MahdiFattahi/explainable-multi-stakeholder-recommender