Recommendation systems are essential for connecting users with relevant content, products, or services. Dense retrieval methods have been a mainstay in this field, utilizing sequence modeling to compute item and user representations. However, these methods demand substantial computational resources and storage, as they require embeddings for every item. As datasets grow, these requirements become increasingly […]
The post Meta AI Proposes LIGER: A Novel AI Method that Synergistically Combines the Strengths of Dense and Generative Retrieval to Significantly Enhance the Performance of Generative Retrieval appeared first on MarkTechPost.
SOCIAL SHARE CARD GENERATOR