While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...

Abstract: Recommender systems in e-commerce face a persistent challenge known as the item cold-start problem, where systems struggle to make relevant suggestions about new items due to insufficient ...