数字化图书馆智能化分类方法的探究

Exploration of Intelligent Classification Methods for Digital Libraries

旨在研究数字化图书馆智能化分类方法,以期能够提升图书馆馆内资源利用效率。文中介绍了国内外数字化图书馆的分类方法,分析了机器学习、文本挖掘技术以及基于用户兴趣的智能化分类方法的应用。最后通过两个案例的分析,总结出智能化分类方法可以提高数字化图书馆馆内的资源利用效率,是未来图书馆建设的重要发展方向。

This article aims to study intelligent classification methods for digital libraries,with the aim of improving the efficiency of resource utilization within the library.The article introduces the classification methods of digital libraries at home and abroad,analyzes the application of machine learning,text mining technology,and intelligent classification methods based on user interests.Finally,through the analysis of two cases,this article summarizes that intelligent classification methods can improve the efficiency of resource utilization in digital libraries,which is an important development direction for future library construction.