首页|ChatGPT赋能信息检索:原理、测评、场景与进路

ChatGPT赋能信息检索:原理、测评、场景与进路

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[目的/意义]以ChatGPT为代表的生成式人工智能的快速发展,为信息检索的智慧化转型带来巨大机遇.[方法/过程]探索ChatGPT赋能信息检索的作用原理,剖析ChatGPT支撑技术与信息检索的契合之处,采用专家打分法对ChatGPT进行测评,分析评价ChatGPT在信息检索领域的能力水平,并以政务、学术、教学、商业4 种场景为例,进一步揭示ChatGPT赋能信息检索的应用图景.[结果/结论]从资源层、处理层、应用层、优化层4 个层面出发,提出通过定制专业领域的信息集合、注重信息抽取能力、打造"搜索+ChatGPT"双引擎结构、加强用户交互,来推动信息检索的发展进程.
ChatGPT Empowers Information Retrieval:Principles,Evaluations,Scenarios and Approaches
[Purpose/significance]The rapid development of generative artificial intelligence represented by ChatGPT brings great opportunities for the intelligent transformation of information retrieval.[Method/process]Explore the function principle of en-abling information retrieval by ChatGPT,analyze the compatibility between ChatGPT supporting technology and information retriev-al,evaluate ChatGPT by using the expert scoring method,analyze and evaluate ChatGPT's ability level in the field of information retrieval,and take four scenarios of government affairs,academic,teaching and business as examples.The application of ChatGPT empowering information retrieval is further revealed.[Result/conclusion]Starting from the four levels of the resource layer,pro-cessing layer,application layer,and optimization layer,it is proposed to promote the development process of information retrieval by customizing the information set of professional fields,focusing on the ability of information extraction,building the dual-engine structure of"search superimposed ChatGPT"and strengthening user interaction.

information retrievalChatGPTtechnology empowermentgenerative artificial intelligencelarge language model

郭亚军、周家华、庞义伟、李天祥、李泽锋

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郑州航空工业管理学院信息管理学院,河南 郑州 450046

信息检索 ChatGPT 技术赋能 生成式人工智能 大语言模型

2025

情报理论与实践
中国国防科学技术信息学会 中国兵器工业第二一零研究所

情报理论与实践

北大核心
影响因子:1.302
ISSN:1000-7490
年,卷(期):2025.48(1)