我们发现与上下文无关的广告被觉察到的机会更高，但是上下文相关的广告有更高的关注率和回忆率。
We've found that awareness is often higher with non-contextually targeted ads, but engagement and recall is higher with contextual ads.
本文主要介绍了觉察上下文计算中的重要部分—上下文模型，并对已有的模型进行了分析和比较。
In this paper, we introduce context modeling, an important part of context-aware computing, also analyze and compare the existing models.
这种“按需服务”的计算环境称为觉察上下文的计算。
This kind of "services according to demands" computing environment is called "context-aware computing".
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