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TastyStreet System:Context-Aware Application that guides Users to their preferred shopping locations with a GPS locator-equipped cell-phone

机译:TasteTreet System:导向用户与​​配备GPS定位器的手机首选购物位置的上下文感知应用程序

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In this paper, we describe the " Tasty Street System" ; which is building prototypes of a context-aware application that provides town information about a specified area that reflects users' tastes. A lot of research is being done about context-aware application or location-aware applications. However, a breakthrough application which brings about a revolution in our lifestyle has yet to come into existence, because of poor context. This existing research uses only users' location as context. With only location data, it is hard to provide reliable service. But TastyStreet uses not only location data but other information to provide a more comprehensive service. TastyStreet stores users' movement log using a GPS locator-equipped cell-phone, and analyzes the move log to aquire a user's history of visited shops. Analyzing information, TastyStreet extracts more rich context, including users' preferred shops. We will describe the features of the existing TastyStreet, demonstrate system prototypes and discuss important research issues that has emerged in context-aware applications development in a mobile environment.
机译:在本文中,我们描述了“美味的街道系统”;这是建立上下文知识应用程序的原型,该应用程序提供有关反映用户品味的指定区域的城镇信息。正在对上下文感知应用程序或位置感知应用程序进行大量研究。然而,由于背景不佳,我们在生活方式中带来了一场革命的突破性应用程序尚未存在。此现有的研究仅使用用户的位置作为上下文。只有位置数据,很难提供可靠的服务。但是TasteStreet不仅使用位置数据,而且使用其他信息提供更全面的服务。 TasteStreet使用配备GPS定位器的手机存储用户的移动日志,并分析移动日志以获得用户的访问商店的历史。分析信息,TasteStreet提取更多丰富的背景,包括用户的首选商店。我们将描述现有的TasteStreet的功能,演示系统原型,并讨论了在移动环境中的上下文中的应用程序开发中出现的重要研究问题。

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