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The traditional method first classifies the user information and combines the query method to retrieve the interest information, but neglects to calculate the weight of the user interest information, which leads to the low retrieval accuracy. A retrieval method based on the fuzzy proximity classification technology is proposed. Approximation between the fuzzy sets is used to represent the consistency between the user interest information features, and the consistency calculation formula and the skewness confidence matrix between the user interest information features are given. The fuzzy classification of the user interest information can obtain the most consistent confidence data and eliminate the redundant approximation interference data. The probabilistic model of the information word frequency and the user interest information length calculates the weight of the user interest information, and adjusts the weight formula constantly.
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篇名 Research on the User Information Optimized Retrieval Technology in Distributed Database
来源期刊 国际英语教育研究:英文版 学科 社会科学
关键词 DISTRIBUTED DATABASE USER INFORMATION optimized RETRIEVAL TECHNOLOGY
年,卷(期) gjyyjyyjywb_2019,(3) 所属期刊栏目
研究方向 页码范围 27-29
页数 3页 分类号 G
字数 语种
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研究主题发展历程
节点文献
DISTRIBUTED
DATABASE
USER
INFORMATION
optimized
RETRIEVAL
TECHNOLOGY
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研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
国际英语教育研究:英文版
月刊
2310-3442
南京市江宁区万安西路168号
出版文献量(篇)
1656
总下载数(次)
5
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