Enhanced Facet Generation with LLM Editing

arXiv:2403.16345v1 Announce Type: new
Abstract: In information retrieval, facet identification of a user query is an important task. If a search service can recognize the facets of a user's query, it has the potential to offer users a much broader range of search results. Previous studies can enhance facet prediction by leveraging retrieved documents and related queries obtained through a search engine. However, there are challenges in extending it to other applications when a search engine operates as part of …

abstract arxiv cs.ai cs.cl cs.ir documents editing facet identification information llm prediction query results retrieval search search results service studies type