面向LSC2019的交互式搜索引擎

S. P. Nguyen, Dien H. Le, U. Pham, M. Crane, G. Healy, C. Gurrin
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引用次数: 2

摘要

随着许多可穿戴设备的出现,如智能手表、录音眼镜(如谷歌眼镜)、智能手机,数字个人资料现在变得越来越容易获得。然而,搜索和导航这些多源、多模式且通常是非结构化的数据以提取有用的信息仍然是一项相对具有挑战性的任务。因此,举办LSC2019竞赛是为了让研究人员能够展示新颖的搜索引擎,并就这些类型的问题交换意见和合作。在本文中,我们提出了一种支持交互式搜索生活日志数据的方法,该方法采用了一种名为vielens的新检索系统,该系统是一种通过自然语言处理技术增强的交互式检索系统,主要在用户日常生活活动的背景下扩展和改进搜索结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
VieLens,: An Interactive Search engine for LSC2019
With the appearance of many wearable devices like smartwatches, recording glasses (such as Google glass), smart phones, digital personal profiles have become more readily available nowadays. However, searching and navigating these multi-source, multi-modal, and often unstructured data to extract useful information is still a relatively challenging task. Therefore, the LSC2019 competition has been organized so that researchers can demonstrate novel search engines, as well as exchange ideas and collaborate on these types of problems. We present in this paper our approach for supporting interactive searches of lifelog data by employing a new retrieval system calledVieLens, which is an interactive retrieval system enhanced by natural language processing techniques to extend and improve search results mainly in the context of a user's activities in their daily life.
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