上下文门户通过分析上下文信息或从用户或用户组的以前行为中学习，可以支持重复的用户行为。
The contextual portal supports recurring user behavior by taking contextual information into account or by learning from a user or user group's previous behavior.
通过建立分析模型，可以更详细地提炼用例，将系统的行为初步分配给提供行为的一组对象。
In use of the analysis model, we can attain particular use case and distribute a group objects for the system behavior.
不同的人物角色代表不同的相关行为组，而这些相关性是通过分析研究数据得来的。
Different personas represent different correlated behavior patterns. These correlations are arrived at through analyzing research data.
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