Group-Aware Fair and Diverse Recommendation via Dual-View Preference Modeling and Rank-Sensitive Re-Ranking: Evidence from Real Travel Groups
Group recommender systems must reconcile collective relevance with divergent member preferences. This study introduces Group-Aware Fair and Diverse Decisions (GA-FDD), a transparent decision-layer framework integrating member-derived and direct-group-history relevance signals with rank-sensitive member utility, model-p...