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Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks

机译:异构网络中多个实体的共同排行:整合时间因素和用户书签

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摘要

In this paper, we present a novel approach that models the mutual reinforcing relationship among papers, authors and publication venues with due cognizance of publication time. We further integrate bookmark information which models the relationship between users' expertise and papers' quality into the composite citation network using random walk with restart framework. The experimental results with ACM dataset show that 1) the proposed method outperforms the traditional methods; 2) by incorporating the temporal factor, the ranking result of latest publications can be greatly improved; 3) the integration of user generated content further enhances the ranking result.
机译:在本文中,我们提出了一种新颖的方法,该模型以适当的出版时间为模型,对论文,作者和出版地点之间的相互加强关系进行建模。我们使用带有重新启动框架的随机游走将书签信息(该模型将用户专业知识和论文质量之间的关系建模)进一步集成到复合引用网络中。 ACM数据集的实验结果表明:1)提出的方法优于传统方法; 2)通过纳入时间因素,可以大大提高最新出版物的排名结果; 3)用户生成内容的集成进一步增强了排名结果。

著录项

  • 来源
  • 会议地点 Beijing(CN);Beijing(CN)
  • 作者单位

    Institute of Networking and Information Systems, School of Electronics Engineering and Computer Science,Peking University, 100871, Beijing, China;

    Institute of Networking and Information Systems, School of Electronics Engineering and Computer Science,Peking University, 100871, Beijing, China;

    Institute of Networking and Information Systems, School of Electronics Engineering and Computer Science,Peking University, 100871, Beijing, China;

    Institute of Networking and Information Systems, School of Electronics Engineering and Computer Science,Peking University, 100871, Beijing, China ,Department of Computer Science, Federal University of Technology,Akure, Nigeria;

    Institute of Networking and Information Systems, School of Electronics Engineering and Computer Science,Peking University, 100871, Beijing, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 电子图书馆、数字图书馆;
  • 关键词

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