Seller Inventory Recommendations Enhanced by Expert Knowledge Graph with Large Language Model

1. The paper proposes a seller recommender system that utilizes an expert knowledge graph to address market inefficiencies caused by information asymmetry between sellers and marketplace providers. 2. 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. 3. An expert knowledge graph is a new term introduced in this paper, capable of discerning real-world connections in a specific niche category which generic knowledge graphs are not able to identify. 4. The primary aim of this paper is to address market inefficiency arising from information asymmetry between sellers and marketplace providers by introducing a scalable seller recommender system that utilizes an expert knowledge graph. 5. The resolution of such inefficiency offers numerous advantages: quality improvement of listings, facilitation of inventory expansion and management for sellers, an increase in the number of new buyers to the marketplace, and a boost in Gross Merchandise Bought (GMB) and purchase frequency by existing buyers. 6. Seller recommender systems have not been extensively developed due to the nature of its complexity, with scalability and relevance being primary concerns. 7. The advent of Large Language Models has facilitated approaches to these issues, particularly by employing LLMs to create a common-sense world model. 8. eBay is known for its unique inventory, but not all inventory is listed or exists on eBay, and leveraging LLMs and an expert knowledge graph enables the expansion of recommender systems beyond internal data. 9. Utilizing an expert knowledge graph allows for differentiation in listing recommendations based on the nature of the inventory, facilitating multiple opportunities for inventory extension while maintaining high seller satisfaction scores. 10. The proposed system has the potential to significantly reduce market inefficiencies caused by information asymmetry between sellers and marketplace providers, offering personalized and relevant inventory expansion recommendations that cater to the specific needs and preferences of sellers.