摘要
为了满足用户对图书馆资源检索需求,提高资源检索效率。选取数据挖掘技术作为核心处理工具,利用此工具开发智能化的云端检索系统。依据图书馆资源检索需求,设计系统框架结构,利用数据挖掘技术编写检索算法。实验测试结果表明,本系统算法不仅提高了资源检索效率,而且从数据节点层面上形成了检索效率调整体系,有助于促进图书馆资源云检索工作发展。
In order to meet users'demand for library resource retrieval and improve the efficiency of resource retrieval,this paper selects data mining technology as the core processing tool and uses this tool to develop intelligent cloud retrieval system.According to the demand of library resource retrieval,the system framework is designed and the retrieval algorithm is compiled by using data mining technology.The experimental results show that the system algorithm not only improves the efficiency of resource retrieval,but also forms a retrieval efficiency adjustment system from the data node level,which is helpful to promote the development of library resource cloud retrieval.
作者
张成叔
ZHANG Cheng-shu(School of Computer and Information,Hefei University of Technology,Hefei Anhui,2306001;Department of Economy and Trade,Anhui Vocational College of Finance and Trade,Hefei Anhui,230601)
出处
《山西大同大学学报（自然科学版）》
2020年第6期37-41,110,共6页
Journal of Shanxi Datong University(Natural Science Edition)
基金
安徽省质量工程项目[2018YLJC301][2019CXTD089][2020ZDXSJG011]
安徽省高校自然科学重点项目[KJ2019A1204]。
关键词
云检索系统
数据挖掘技术
智能图书馆
cloud retrieval system
data mining technology
smart library
