Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

arXiv:2309.01157v2 Announce Type: replace-cross
Abstract: Large language models (LLM) not only have revolutionized the field of natural language processing (NLP) but also have the potential to reshape many other fields, e.g., recommender systems (RS). However, most of the related work treats an LLM as a component of the conventional recommendation pipeline (e.g., as a feature extractor), which may not be able to fully leverage the generative power of LLM. Instead of separating the recommendation process into multiple stages, such as …

abstract arxiv cs.ai cs.cl cs.ir discussions fields generative however language language models language processing large language large language models llm natural natural language natural language processing nlp processing recommendation recommender systems reshape survey systems type work