From Matching to Generation: A Survey on Generative Information Retrieval

arXiv:2404.14851v1 Announce Type: cross
Abstract: Information Retrieval (IR) systems are crucial tools for users to access information, widely applied in scenarios like search engines, question answering, and recommendation systems. Traditional IR methods, based on similarity matching to return ranked lists of documents, have been reliable means of information acquisition, dominating the IR field for years. With the advancement of pre-trained language models, generative information retrieval (GenIR) has emerged as a novel paradigm, gaining increasing attention in recent years. Currently, research …

abstract access acquisition arxiv cs.ai cs.cl cs.ir documents generative information lists question question answering recommendation recommendation systems retrieval search survey systems tools type