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Supporting exploratory browsing with visualization of social interaction history.

机译:支持可视化社交互动历史记录的探索性浏览。

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摘要

This thesis is concerned with the design, development, and evaluation of information visualization tools for supporting exploratory browsing. Information retrieval (IR) systems currently do not support browsing well. Responding to user queries, IR systems typically compute relevance scores of documents and then present the document surrogates to users in order of relevance. Other systems such as email clients and discussion forums simply arrange messages in reverse chronological order. Using these systems, people cannot gain an overview of a collection easily, nor do they receive adequate support for finding potentially useful items in the collection.;To test this basic hypothesis, I conducted three studies. First, I ran statistical analysis of a social media data set. The results showed that there were positive relationships between traces of social interaction and the degree of interestingness of web articles. Second, I conducted a feasibility study to collect initial feedback about the potential of social interaction history to support information exploration. Comments from the participants were in line with the research hypothesis. Finally, I conducted a summative evaluation to measure how well visualization of social interaction history can improve exploratory browsing. The results showed that visualization of social interaction history was able to help users find interesting articles, to reduce wasted effort, and to increase user satisfaction with the visualization tool.;This thesis explores the feasibility of using social interaction history to improve exploratory browsing. Social interaction history refers to traces of interaction among users in an information space, such as discussions that happen in the blogosphere or online newspapers through the commenting facility. The basic hypothesis of this work is that social interaction history can serve as a good indicator of the potential value of information items. Therefore, visualization of social interaction history would offer navigational cues for finding potentially valuable information items in a collection.
机译:本文涉及用于支持探索性浏览的信息可视化工具的设计,开发和评估。信息检索(IR)系统当前不支持良好的浏览。响应用户查询,IR系统通常计算文档的相关性得分,然后按相关性顺序向用户显示文档替代。其他系统(例如电子邮件客户端和论坛)仅按相反的时间顺序排列消息。使用这些系统,人们无法轻松地获得馆藏的概述,也无法获得足够的支持来寻找馆藏中可能有用的物品。为了验证这一基本假设,我进行了三项研究。首先,我对社交媒体数据集进行了统计分析。结果表明,社交互动的痕迹与网络文章的有趣程度之间存在正相关关系。其次,我进行了一项可行性研究,以收集有关社交互动历史潜力的初步反馈,以支持信息探索。参与者的评论与研究假设相符。最后,我进行了总结性评估,以衡量社交互动历史的可视化效果如何改善探索性浏览。结果表明,社交交互历史的可视化能够帮助用户找到有趣的文章,减少浪费的工作量,并通过可视化工具提高用户满意度。本论文探讨了使用社交交互历史来改善探索性浏览的可行性。社交互动历史记录是指信息空间中用户之间互动的痕迹,例如通过评论工具在博客圈或在线报纸中进行的讨论。这项工作的基本假设是,社交互动历史可以很好地指示信息项的潜在价值。因此,社交交互历史的可视化将提供导航提示,以在集合中查找潜在有价值的信息项。

著录项

  • 作者

    Indratmo.;

  • 作者单位

    The University of Saskatchewan (Canada).;

  • 授予单位 The University of Saskatchewan (Canada).;
  • 学科 Information Science.;Computer Science.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 178 p.
  • 总页数 178
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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