| 摘要 |
A method is described with which to detect and model a person's temporal activity patterns from a record of the persons computer activity or online presence. The method is both predictive and descriptive of temporal features and is constructed with a minimal amount of beforehand knowledge. Activity related data is accumulated from a mechanism that is involved in the activity of a person. Significant inactivity features are identified within the activity data. These inactivity features are characterized so as to project the temporal activity of the person. Real-time activity of the person is then detected and inactivity periods are checked for likelihood of belonging to a previously characterized significant feature. The resulting information is formatted and made available to individuals having a need for the information.
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