Wencong Zeng

LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation

Recent advances in Large Language Models (LLMs) have enhanced text-based recommendation by enriching traditional ID-based methods with semantic generalization capabilities. Text-based methods typically encode item textual information via prompt design and generate discrete semantic IDs through item