微型电脑应用2023，Vol.39Issue(12)：228-232,5.
面向高校图书馆的智慧搜索模式研究
Research on Smart Search Models for University Libraries
赵航 1康丽娟2
作者信息
- 1. 西安工程大学,图书馆,陕西,西安 710048
- 2. 西安职业技术学院,现代商学院,陕西,西安 710077
- 折叠
摘要
Abstract
In order to satisfy the needs of university libraries for intelligent,digital,dynamic and comprehensive intelligent search,and improve the experience of university library retrieval services and enhance the competitiveness of university librar-ies,the study proposes an intelligent search system for university libraries based on mobile visual search technology to meet the diversified needs of users.The YOLOv5 network is improved by using the attention mechanism.The experimental results show that YOLOv5+CA has a recognition accuracy of 0.904,a running time of 42.5 ms and a memory occupation of 1.2％,which has a better computational performance and a smaller memory occupation,and can be adapted to the intelligent data retrieval service in libraries.关键词
高校图书馆/深度学习/注意力机制/YOLOv5/移动视觉搜索Key words
university library/deep learning/attention mechanism/YOLOv5/mobile visual search引用本文复制引用
赵航,康丽娟..面向高校图书馆的智慧搜索模式研究[J].微型电脑应用,2023,39(12):228-232,5.
