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arXiv 0908.0919cs.IR
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视频搜索的协作搜索路径

Collaborative Search Trails for Video Search

Frank Hopfgartner, David Vallet, Martin Halvey, Joemon Jose

摘要:

在本文中,我们提出了一种方法,支持用户在搜索视频的困难任务。我们使用协作反馈挖掘早期用户的视频搜索系统的互动,以帮助用户在他们当前的搜索任务。我们的目标是提高用户查找结果的质量,并在此过程中帮助用户探索庞大而复杂的信息空间。希望这将导致他们考虑他们可能没有考虑过的搜索选项。我们进行了以用户为中心的评估。我们的评估结果表明,我们实现了我们的目标,用户在寻找相关的视频剪辑的性能与我们的系统得到了增强,用户能够探索更多的视频剪辑的集合,用户表现出偏好我们的系统,提供建议。

英文摘要:

In this paper we present an approach for supporting users in the difficult task of searching for video. We use collaborative feedback mined from the interactions of earlier users of a video search system to help users in their current search tasks. Our objective is to improve the quality of the results that users find, and in doing so also assist users to explore a large and complex information space. It is hoped that this will lead to them considering search options that they may not have considered otherwise. We performed a user centred evaluation. The results of our evaluation indicate that we achieved our goals, the performance of the users in finding relevant video clips was enhanced with our system; users were able to explore the collection of video clips more and users demonstrated a preference for our system that provided recommendations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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