基于随机森林算法的图书馆文献信息自动检索方法  

Automatic retrieval method of library literature information based on random forest algorithm

作　　者：王瑞存[1] 李金英 WANG Ruicun;LI Jinying(Tianjin College,University of Science and Technology Beijing,Tianjin 301830,China)

机构地区：[1]北京科技大学天津学院,天津301830

出　　处：《计算机应用文摘》2024年第13期135-137,140,共4页Chinese Journal of Computer Application

基　　金：北京科技大学天津学院第三批校级一流课程建设项目。

摘　　要：传统图书馆文献信息自动检索工具只建立了图书馆文献自动检索索引,而未对图书馆文献进行分类存储,导致传统方法检索效率低。基于此,文章提出基于随机森林算法的图书馆文献信息自动检索方法。该方法可以对用户的问题关键词进行提取,从而提高文献信息检索的准确度;可以对图书馆文献进行分类,建立图书馆文献自动检索索引,实现了图书馆文献信息的自动检索。经对比实验证明,该方法的文献信息检索效率较高,值得推广。Traditional library literature information automatic retrieval tools only establish library literature automatic retrieval indexes,without classifying and storing library literature,which leads to low retrieval efficiency of traditional methods.Based on this,the article proposes a library literature information automatic retrieval method based on random forest algorithm,which can extract user question keywords and improve the accuracy of literature information retrieval.It is possible to classify library literature,establish an automatic retrieval index for library literature,and achieve automatic retrieval of library literature information.Through comparative experiments,it has been proven that this method has high efficiency in literature information retrieval and is worth promoting.

关 键 词：随机森林算法 图书馆文献 文献检索 检索方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]