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FlashFind: Responsive search in large datasets on mobile devices

机译:FlashFind:在移动设备上的大型数据集中进行响应式搜索

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This paper introduces FlashFind, an on-device search engine for making the vast amounts of digital content stored on today's flash memory-enabled mobile devices (PMP's, PND's, e-readers, smart phones) instantly accessible through a single-widget search interface. Without network access, FlashFind provides a search experience comparable to that of standard web search engines. More than that, the search is fully incremental and prefix-based, i.e. results are shown shortly after each key press, and instead of entire words, the user mostly needs to type only a small number of characters until the desired result is found. The pilot application, implemented on Windows Mobile smart phones and on Linux, provides near-instantaneous global search-based selection among the streets, points of interest and cities in a map of Western Europe (-10 millions of entries) and is being integrated into a commercial navigation application. The patent-pending FlashFind technology is equally capable to search other coarsely-structured text-based or text-annotated spatial or non-spatial content, e.g. collections of e-books on an e-reader device. In contrast to server or desktop search solutions, FlashFind is optimized for the limitations of mobile devices in terms of CPU, main memory, and interaction constraints (e.g. having only a phone keypad). Ongoing work is targeted at fuzzy search, at new applications and device classes, and at integrating our search technology with other innovative input methods.
机译:本文介绍FlashFind,它是一种设备上搜索引擎,可通过单窗口搜索界面立即访问存储在当今具有闪存功能的移动设备(PMP,PND,电子阅读器,智能手机)上的大量数字内容。没有网络访问权限,FlashFind可以提供与标准Web搜索引擎相当的搜索体验。不仅如此,搜索是完全增量式且基于前缀的,即在每次按键后立即显示结果,而不是整个单词,用户通常只需要键入少量字符即可找到所需结果。该试点应用程序在Windows Mobile智能手机和Linux上实现,可在西欧地图(千万条目)中在街道,景点和城市之间进行基于即时搜索的全球选择,并已集成到该应用程序中商业导航应用程序。正在申请专利的FlashFind技术同样能够搜索其他基于粗略结构的基于文本或带有文本注释的空间或非空间内容,例如电子阅读器设备上的电子书收藏。与服务器或桌面搜索解决方案相比,FlashFind针对移动设备在CPU,主内存和交互约束(例如仅具有电话键盘)方面的限制进行了优化。正在进行的工作主要针对模糊搜索,新的应用程序和设备类别,以及将我们的搜索技术与其他创新的输入方法进行集成。

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