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This paper proposes an item recommender system for sellers that could potentially address market inefficiencies.
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This paper proposes an item recommender system for sellers that could potentially address market inefficiencies stemming from the insufficiency of market information available to sellers. The system is designed to suggest specific items for listing that could expand a seller’s inventory, taking into account their preferences, buyer demand, and economic projections. The proposed solution integrates various methodologies to deliver optimal item recommendations.