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  • 骆亮.基于内容推荐算法和余弦相似度算法的领导决策辅助信息系统[J].广西科学院学报,2018,34(2):143-150.    [点击复制]
  • LUO Liang.A Leader Decision Assistant Information System based on Content Recommendation and Cosine Similarity Algorithm[J].Journal of Guangxi Academy of Sciences,2018,34(2):143-150.   [点击复制]
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基于内容推荐算法和余弦相似度算法的领导决策辅助信息系统
骆亮
0
(广西壮族自治区经济信息中心, 广西南宁 530022)
摘要:
[目的] 为研究符合党政机关辅助决策特点的决策辅助系统,帮助领导快速、准确收集查找决策辅助信息,提高党政机关领导决策效率和准确性。[方法] 基于内容推荐和余弦相似度算法设计了决策信息检索引擎,并结合决策信息库、用户决策特征库、决策信息采集子系统、决策信息推送子系统设计研发了领导决策辅助系统。[结果] 系统在党政机关的决策辅助系统中进行了应用验证。系统可根据领导输入的关键字及领导的关注偏好进行决策辅助信息推送,推送结果准确率较高,符合辅助领导决策预期。[结论] 基于内容推荐和余弦相似度算法的领导决策辅助信息系统根据用户偏好和特征进行决策辅助信息推荐,具有较好的准确性和针对性,开辟了党政机关决策辅助系统设计建设的新思路。
关键词:  基于内容推荐  余弦相似度  决策辅助
DOI:10.13657/j.cnki.gxkxyxb.20180601.001
投稿时间:2018-01-10
基金项目:
A Leader Decision Assistant Information System based on Content Recommendation and Cosine Similarity Algorithm
LUO Liang
(Guangxi Economic Information Center, Nanning, Guangxi, 530022, China)
Abstract:
[Objective] In order to help the leaders to collect and find the information quickly and accurately, improving the efficiency and accuracy of the decision-making of leader of the government, the decision support system that meets the decision-making characteristics of the party and government agencies is studied. [Methods] We design a leadership decision support system which is based on the content recommendation and cosine similarity algorithm. The system includes decision information database, user decision feature database, decision information collection subsystem and decision information push subsystem. [Results] The system is applied in the government decision support system, which can push information according to the key words and the preference of the leader. The accuracy of the pushing results is high, which is consistent with the expectation of the leader. [Conclusion] The system has better accuracy and pertinence according to the user preferences and characteristics, which has opened up a new idea for the design and construction of the decision-making assistant system of the party and government agencies.
Key words:  content-based recommendation  cosine similarity  decision-making assistance

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