利用上下文进行自动签入建议和验证

M. Valla, C. Frà
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引用次数: 2

摘要

允许用户分享位置、观点和推荐的移动社交应用正在迅速传播。其中,签入应用程序越来越受欢迎,但也存在一些问题。在本文中,我们演示了一个利用用户上下文来执行自动签入验证和建议的系统。给出了系统架构及其技术组件的描述,重点是如何使用原始和推断的上下文数据(位置,运动状态,接触距离等)来自动验证和建议签到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting context for automatic check-in suggestion and validation
Mobile social applications that allow users to share presence, opinions and recommendations about places are spreading rapidly. Among these, check-in applications are becoming increasingly popular, but present some issues. In this paper we illustrate a system to exploit user's context to perform automatic check-in validation and suggestion. A description of the system architecture and its technical components is given, focusing on how raw and inferred context data (position, motion status, contacts proximity, etc.) are used to validate and suggest check-ins automatically.
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