摘要
目前,我国现行的数字图书馆信息检索模型存在较多问题,如误差大、精度低等,用户无法获取较为理想的数字图书馆信息检索结果,为有效解决以上问题,本文设计了一种新的模型,即基于大数据分析技术的数字图书馆信息检索模型。首先对相关数字图书馆信息检索文献资料进行了搜集与分析,找出影响数字图书馆信息检索效果的因素,然后对大量数字图书馆信息检索数据进行收集,同时利用大数据分析技术,构建了数字图书馆信息检索模型,最后对新建模型的检索效果进行了仿真检测。结果表明,与传统检索模型相比,本文设计的新检索模型更具优势,能够有效解决现行的数字图书馆信息检索模型中存在的问题,具有重要意义。
At present,our country many problems existing in the current digital library information retrieval models,such as low accuracy,great error in the users unable to get ideal results of the digital library information retrieval,to effectively solve the above problem,this paper designs a new model,which is based on large data analysis technology of the digital library information retrieval model First on digital library information retrieval related data collection and analysis,find out the factors influencing the effect of the digital library information retrieval,and then to a large number of digital library information retrieval data are collected,using big data analysis technology at the same time,building the digital library information retrieval model,finally,the effect of the new model has carried on the simulation test results show that compared with the traditional retrieval model,this paper designed a new retrieval model has more advantages,can effectively solve the current problems existing in the digital library information retrieval model,is of great significance.
作者
吴荣
WU Rong(Library of Rocket Army Engineering University,Xi'an Shaanxi 710007)
出处
《数字技术与应用》
2021年第5期121-123,共3页
Digital Technology & Application
关键词
大数据分析技术
数字图书馆信息检索模型
设计
Big data analysis technology
Digital library information retrieval model
Design
