2026
TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems
AAAI 2026technical
Large language models (LLMs) have shown great potential in enhancing search and recommender systems by providing rich semantic representations from unstructured texts. However, directly integrating LLM embeddings into industrial recommendation pipelines often results in subpar performance due to the