基于主题兴趣的在线社交网络服务信息共享方法

Clief Hendro Sengkey, Hsien-Tsung Chang
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引用次数: 0

摘要

在社交网络上更新状态信息成为互联网用户的主要活动之一。然而,当一个故事可以适当地传递给其他用户时,它将变得更加有用。在本文中,我们提出了一种新的方法来适当地共享状态消息,以根据用户的兴趣增强信息的有用性。我们强调利用最先进的主题建模技术和相似度测量来分别获得用户之间的主题兴趣和相似度。我们使用从真实世界的Twitter数据集和英文维基百科收集的数据来评估我们的方法。最后,本文提出的方法可以根据用户对英语推文的兴趣来找到合适的用户。我们的结论是,这种方法可以在不同的社交网络平台上采用,以向特定的用户或群体共享信息,从而使信息对社交网络用户有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Topic of Interest-based Approach on Online Social Network Services for Information Sharing
Updating status messages on social network become one of the main activities of the Internet users. However, sharing a story become more useful when it can be addressed appropriately to other users. In this article, we propose a novel approach to sharing the status message appropriately, to enhance the usefulness of the information according to user interest. We emphasize to leverage state-of-the-art topic modeling technique and similarity measurement to obtain topic interest and similarity between users respectively. We evaluated our approach using data gathered from real-world Twitter datasets and English Wikipedia. In the end, the proposed approach can find the users appropriately on their interest in English tweets. We conclude that this approach can be adopted in different social networks platform for sharing the information to specific user or group for the usefulness of information to the social networks users.
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