System and computer program product for deriving intelligence from activity logs

摘要

Techniques for segregating one or more logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user are provided. The techniques include obtaining at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information, correlating the at least one of at least one action log, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions and segregate the one or more logs based on the one or more actions, and using the one or more logs that have been segregated to derive at least one behavioral pattern of the at least one multitasking user. Techniques are also provided for deriving intelligence from at least one activity log of at least one multitasking user to provide information to the at least one user.

主权项

1. A computer program product comprising a computer readable medium having computer readable program code for segregating multiple action logs of at least one multitasking user to derive at least one behavioral pattern of the at least one multitasking user, said computer program product including:
computer readable program code for obtaining multiple action logs for a user from multiple web sites, configuration information, domain knowledge, at least one task history and open task repository information; computer readable program code for correlating the multiple action logs, configuration information, domain knowledge, at least one task history and open task repository information to determine a task associated with each of one or more actions in the multiple action logs, where there is no explicit indication of the task associated with each of the one or more actions performed, wherein said correlating comprises:
associating each of one or more actions in the multiple action logs with a task in the open task repository;computing a confidence score for each task in the open task repository associated with the one or more actions, said computing comprising:
computing a first probability distribution for a set of tasks associated with the user from the open task repository as a normalized weighted average of distributions over a pre-determined number of previous actions restricted to the set of tasks performed by the user;computing a distribution of recency of tasks opened in the set of tasks; andcombining the probability distribution and the distribution of recency of tasks to determine a second probability distribution for the user; andidentifying the task with the highest confidence score, wherein the highest confidence score corresponds to the task having the maximal probability in the second probability distribution; computer readable program code for automatically segregating the multiple action logs of the at least one multitasking user on a per-task basis based on the identified task; and computer readable program code for using the multiple action logs that have been segregated on a per-task basis to derive at least one behavioral pattern of the at least one multitasking user and a sequence of one or more additional actions based on the identified task and the at least one behavioral pattern.