In this paper, we provide a detailed overview of the models used for information retrieval in the first and second stages of the typical processing chain. We discuss the current state-of-the-art models, including methods based on terms, semantic retrieval, and neural. Additionally, we delve into the key topics related to the learning process of these models. This way, this survey offers a comprehensive understanding of the field and is of interest for for researchers and practitioners entering/working in the information retrieval domain.
翻译:在本文中,我们详细概述了在典型加工链第一和第二阶段用于信息检索的模型,讨论了目前最先进的模型,包括以术语、语义检索和神经学为基础的方法,此外,我们探讨了与这些模型的学习过程有关的关键专题,这样,这项调查全面了解了该领域,使进入/工作于信息检索领域的研究人员和从业人员感兴趣。