大数据分析技术的数字图书馆信息检索模型设计

Design of digital library information retrieval model based on big data analysis technology

针对当前数字图书馆信息检索模型存在精度低、误差大等难题,为了获得理想的数字图书馆信息检索结果,提出大数据分析技术的数字图书馆信息检索模型。首先,分析国内外数字图书馆信息检索相关文献,找到引起数字图书馆信息检索效果不好的原因;然后,收集大量数字图书馆信息检索的数据,并引入大数据分析技术建立数字图书馆信息检索模型;最后,采用具体数字图书馆信息检索实例分析所提模型的优越性。结果表明,文中方法的数字图书馆信息检索准确率要高于其他数字图书馆信息检索模型,克服了当前数字图书馆信息检索存在的一些问题。

In view of the low precision and large error in the current digital library information retrieval model,a digital library information retrieval model based on big data analysis technology is proposed to obtain ideal information retrieval results.The related literature at home and abroad for the digital library information retrieval is analyzed to find out the reasons of poor effect of digital library information retrieval,and then a large number of data of digital library information retrieval is collected to establish the digital library information retrieval model with big data analysis technology. Finally,the advantages of proposed model is analyzed with specific examples of digital library information retrieval. The results show that,in comparison with other digital library information retrieval models,the proposed model has higher information retrieval accuracy and overcomes some difficulties in current digital library information retrieval.