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Passages through time

机译:通过时间的段落

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摘要

The Passages system enhances information management by maintaining a detailed chronicle of all the text the user ever reads or edits, and making this chronicle available for rich temporal queries about the user's information workspace. Passages enables queries like, "which papers and web pages did I read when writing the 'related work' section of this paper?", and, "which of the emails in this folder have I skimmed, but not yet read in detail?" As time and interaction history are important attributes in users' recall of their personal information, effectively supporting them creates useful possibilities for information retrieval. We present methods to collect and make sense of the large volume of text with which the user interacts. We show through user evaluation the accuracy of Passages in building interaction history, and illustrate its capacity to both improve existing retrieval systems and enable novel ways to characterize document activity across time.
机译:段落系统通过维护用户读取或编辑的所有文本的详细时间表来增强信息管理,并使该编年史用于有关用户的信息工作空间的丰富的时间查询。段落可以启用查询,“在编写本文的”相关工作“部分时,我读取了哪些论文和网页?”,“,以及”此文件夹中的哪个电子邮件都浏览,但尚未详细阅读?“随着时间和交互历史的历史是用户回顾其个人信息的重要属性,有效支持它们为信息检索创造有用的可能性。我们提出了收集和理解用户交互的大量文本的方法。我们通过用户评估构建交互历史中的段落的准确性,并说明其对改进现有检索系统的能力,并使新颖的方式在时间上表征文档活动。

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