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A News Event Ranking Method Based on List with Attributes and Relationship

机译：基于具有属性和关系的列表的新闻事件排名方法

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摘要

According to the characteristics of news events attributes and relationship, we propose a news event ranking method based on the list with attributes and relationship. First, attributes and relationship of news events are analyzed and page content features, event attributes features and relationship features are selected. Second, in order to construct news event ranking model based on the list, these features are integrated into ListNet ranking model. At last, the contrast experiments are performed. The experimental results show that the proposed method has a good effect for news events, and the accuracy rate improve 10% after integrating events relationship features.
机译：根据新闻事件属性和关系的特点，提出一种基于具有属性和关系的列表的新闻事件排序方法。首先，分析新闻事件的属性和关系，并选择页面内容特征，事件属性特征和关系特征。其次，为了构建基于列表的新闻事件排名模型，将这些功能集成到ListNet排名模型中。最后进行对比实验。实验结果表明，该方法对新闻事件具有良好的效果，整合事件关系特征后，准确率提高了10％。

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  • 来源
    《Journal of information and computational science》 |2015年第11期|4487-4494|共8页
  • 作者

    Guangshun Qin; Zhengtao Yu; Xudong Hong; Xiaohui Liu; Jianyi Guo;

  • 作者单位

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650050, China,Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology Kunming 650500, China;

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650050, China,Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology Kunming 650500, China;

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650050, China,Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology Kunming 650500, China;

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650050, China,Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology Kunming 650500, China;

    School of Information Engineering and Automation, Kunming University of Science and Technology Kunming 650050, China,Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology Kunming 650500, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Attributes Features; Relationship Features; ListNet; News Event Ranking;

    机译：属性特征;关系特征;ListNet;新闻事件排行;

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