摘要
文章利用自然语言处理和机器学习技术,理解图书馆用户的检索意图并提供准确的文献检索结果,分析用户的查询语句和历史检索记录,学习和识别用户的偏好,从而提供个性化的检索服务。实验结果表明,文章应用人工智能机器人技术构建的文献自动检索系统具有较高的准确性和可靠性,能够有效提高图书馆文献检索的效率和质量。
This paper uses natural language processing and machine learning technology to understand the search intention of library users and provide accurate literature search results by means of intention recognition,and learns and recognizes the preferences of users by analyzing their query statements and historical search records,so as to provide personalized search services.The experimental results show that the automatic document retrieval system constructed by artificial intelligence robot technology in this paper has high accuracy and reliability,and can effectively improve the efficiency and quality of library document retrieval.
作者
燕卓君
YAN Zhuojun(Shandong University,Jinan Shandong 250000,China)
出处
《信息与电脑》
2023年第23期162-164,共3页
Information & Computer
关键词
人工智能机器人技术
图书馆
文献自动搜索
artificial intelligence robot technology
library
automatic document search