摘要
传统的数据检索往往借助对关键词的检索与基本的统计方式,无法满足大数据、信息时代的发展需求。随着人工智能技术的普及应用,尤其是自然处理器、深度学习等技术的应用更是为数据检索提供了技术支撑,有效地实现了数据自动检索功能,无论是检索效率还是精准度,均得到了明显提升。为此,加强人工智能技术在数据自动检索中的应用研究,可以在实现人工智能技术发展的同时,还能够提升数据自动检索的效率,对各个行业的发展具有重要价值。
For traditional data retrieval,it often relies on keyword search and basic statistical methods,which makes this retrieval method unable to meet the development needs of big data and information age.With the popularization and application of artificial intelligence technology,especially the application of natural processors,deep learning and other technologies,it has provided technical support for data retrieval,effectively realizing the function of automatic data retrieval.Both retrieval efficiency and accuracy have been significantly improved.Therefore,strengthening the research on the application of artificial intelligence technology in automatic data retrieval can not only achieve the development of artificial intelligence technology,but also improve the efficiency of automatic data retrieval,which is of great value to the development of various industries.
作者
张涛
ZHANG Tao(Beijing Zhongdian Puhua Information Technology Co.,Ltd.,Beijing,100192 China)
出处
《科技资讯》
2025年第9期49-51,共3页
Science & Technology Information
关键词
人工智能
信息数据
自动检索
大数据
Artificial intelligence
Information data
Automatic retrieval
Big data
