KELLMRec: Knowledge-Enhanced Large Language Models for Recommendation

arXiv:2403.06642v1 Announce Type: cross
Abstract: The utilization of semantic information is an important research problem in the field of recommender systems, which aims to complement the missing parts of mainstream ID-based approaches. With the rise of LLM, its ability to act as a knowledge base and its reasoning capability have opened up new possibilities for this research area, making LLM-based recommendation an emerging research direction. However, directly using LLM to process semantic information for recommendation scenarios is unreliable and sub-optimal …

abstract act arxiv capability cs.ai cs.cl cs.ir information knowledge knowledge base language language models large language large language models llm reasoning recommendation recommender systems research semantic systems type