文章摘要
王炼,牛庆银.用户体验视角下数字图书馆数据智能查询优化研究[J].数字图书馆论坛,2017,(7):42~46
用户体验视角下数字图书馆数据智能查询优化研究
Research on Digital Intelligent Query Optimization of Digital Library Based on User Experience
  
DOI:
中文关键词: 用户体验视角;关联规则;数字图书馆;智能查询
英文关键词: User Experience Perspective;Association Rules;Digital Library;Intelligent Query
基金项目:
作者单位
王炼 中国人民解放军装甲兵工程学院 
牛庆银 中国人民解放军装甲兵工程学院 
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中文摘要:
      针对传统数字图书馆数据智能查询技术一直存在响应时间长、效率低且查询准确性较差的问题,本文提出用户体验视角下数字图书馆数据智能查询优化研究.首先,介绍数字图书馆数据智能查询技术的进展及存在意义;其次,在用户体验视角下采用数据关联规则方法对数字图书馆数据进行挖掘与提取,并依据关系数据库的基本思想对关联规则提取计算进行描述;最后,按照权重值从大到小的顺序给出查询结果,从而实现智能查询优化.结果表明,本文提出的方法查询效率高,查询精度明显优于传统方法.
英文摘要:
      According to the data of traditional digital library intelligent query technology has long response time, low efficiency and poor accuracy of query problem, proposed user experience research on query optimization in data from the perspective of intel igent digital library. Firstly, this paper introduces the development of intelligent digital library data query technology and the meaning of existence;secondly, using the method of data association rules in user experience from the perspective of mining and extraction of digital library data, and based on the basic idea of the relational database to extract association rules to calculate description;finally, according to the weight values are given in ascending order from big to small the query results, so as to realize intelligent query optimization. Experimental results show that the proposed method has high query efficiency and better query accuracy than traditional methods.
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