使用基于上下文的mashup共享移动用户体验

Luca Costabello, Oscar Rodríguez Rocha, L. Goix
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引用次数: 2

摘要

我们描述了两个基于上下文数据和从运行在移动设备上的客户机应用程序检索的多媒体内容的mashup。这些信息由我们的上下文感知平台处理,该平台提供特定的api,将上下文数据传递给我们的mashup。首先,这些api可以对用户获取的图片和视频进行上下文标注。我们采用机器标签,以便在我们的内容管理系统中以情境过滤的方式呈现图片和视频。此外,平台api用于收集上下文信息,这些信息通过特别聚类算法进行分析,以检测用户的日常行为。因此,我们自动生成结构化的博客文章来描述用户的一天。同样的信息也被表示为视频博客。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sharing mobile user experiences with context-based mashups
We describe two mashups based on context data and multimedia content retrieved from a client application running on mobile devices. This information is processed by our Context Aware Platform that provides specific APIs to deliver context data to our mashups. First of all, these APIs enable context tagging of pictures and videos acquired by the users. Machine tags are adopted in order to enable context-filtered representation of pictures and videos on our content management system. Moreover, platform APIs are used to gather context information that is analyzed by ad-hoc clustering algorithms to detect the users' daily actions. We therefore automatically generate structured blog posts that describe the users' day. The same information is represented as video blogs, too.
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