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Improved trust-aware recommender system using small-worldness of trust networks

机译:使用小规模信任网络改进的信任感知推荐系统

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摘要

The trust network is a social network where nodes are inter-linked by their trust relations. It has been widely used in various applications, however, little is known about its structure due to its highly dynamic nature. Based on five trust networks obtained from the real online sites, we contribute to verify that the trust network is the small-world network: the nodes are highly clustered, while the distance between two randomly selected nodes is short. This has considerable implications on using the trust network in the trust-aware applications. We choose the trust-aware recommender system as an example of such applications and demonstrate its advantages by making use of our verified small-world nature of the trust network.
机译:信任网络是一个社交网络,其中节点通过其信任关系相互链接。它已被广泛用于各种应用中,但是由于其高度动态的特性,对其结构知之甚少。基于从真实在线站点获得的五个信任网络,我们有助于验证信任网络是小型世界网络:节点高度聚集,而两个随机选择的节点之间的距离很短。这对于在信任感知应用程序中使用信任网络具有重要意义。我们选择信任感知推荐系统作为此类应用程序的示例,并通过利用我们经过验证的信任网络的小世界性质来展示其优势。

著录项

  • 来源
    《Knowledge-Based Systems》 |2010年第3期|232-238|共7页
  • 作者单位

    Department of Computer Engineering, Kyung Hee University, Yongin, Republic of Korea;

    Department of Computer Engineering, Kyung Hee University, Yongin, Republic of Korea;

    Department of Computer Engineering, Kyung Hee University, Yongin, Republic of Korea;

    Department of Computer Engineering, Kyung Hee University, Yongin, Republic of Korea;

    Electronics and Telecommunications Research Institute (ETRI), Republic of Korea;

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

    trust; trust network; small-world network; recommender system;

    机译:信任;信任网络;小世界网络;推荐系统;

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