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A User-Oriented Special Topic Generation System for Digital Newspaper

机译：面向用户的数字报纸专题生成系统

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摘要

With the coming of digital newspaper, user-oriented special topic generation becomes extremely urgent to satisfy the users' requirements both functionally and emotionally. We propose an applicable automatic special topic generation system for digital newspapers based on users' interests. Firstly, extract subject heading vector of the topic of interest by filtering out function words, localizing Latent Dirichlet Allocation (LDA) and training the LDA model. Secondly, remove semantically repetitive vector component by constructing a synonymy word map. Lastly, organize and refine the special topic according to the similarity between the candidate news and the topic, and the density of topic-related terms. The experimental results show that the system has both simple operation and high accuracy, and it is stable enough to be applied for user-oriented special topic generation in practical applications.
机译：随着数字报纸的到来，面向用户的特殊主题生成变得非常迫切，以在功能上和情感上满足用户的需求。我们提出了一种基于用户兴趣的适用于数字报纸的自动特殊主题生成系统。首先，通过过滤功能词，定位潜在狄利克雷分配（LDA）和训练LDA模型，提取感兴趣主题的主题词向量。其次，通过构造同义词词图来删除语义上重复的向量分量。最后，根据候选新闻与主题之间的相似性以及主题相关词的密度来组织和优化特殊主题。实验结果表明，该系统具有操作简单，精度高，稳定性好等优点，可在实际应用中用于面向用户的特殊主题生成。

著录项

  • 来源
  • 会议地点 Nanchang(CN)
  • 作者

    Xi Xu; Mao Ye; Zhi Tang; Jian-Bo Xu; Liang-Cai Gao;

  • 作者单位

    Institute of Computer Science and Technology, Peking University, Beijing, China,State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Beijing, China,Postdoctoral Workstation of the Zhongguancun Haidian Science Park, Beijing, China;

    State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Beijing, China;

    Institute of Computer Science and Technology, Peking University, Beijing, China,State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Beijing, China;

    State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Beijing, China;

    Institute of Computer Science and Technology, Peking University, Beijing, China;

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

    Digital newspaper; User-oriented special topic; Latent Dirichlet allocation; Synonymy word map;

    机译：数字报纸；面向用户的特殊主题；潜在Dirichlet分配；同义词词图;

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