2025
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
ICML 2025poster
Characterizing users and items through vector representations is crucial for various tasks in recommender systems. Recent approaches attempt to apply Large Language Models (LLMs) in recommendation through a question\&answer format, where real items (eg, Item No.2024) are represented with compound wo…