Importance

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Abstract

Learning by observing a user's activity for enhancing the provision of automated services. In one embodiment, a computer-implemented method first determines a text to analyze. The method then determines the probabilities of a user's goals associated with the text based on features observed in the text, related materials, or user actions, and based on the probabilities of a user's goals, selects one of the following options: (1) inaction, (2) automatic action, or (3) dialog with users about potential actions to seek a user's approval. Upon the method selecting either the (1) automatic action option or the (2) dialog with user about suggested action--the latter also in conjunction with receiving actual user approval--the method performs an action based on the text. In one embodiment, the method waits a predetermined time prior to action, determined by performing a statistical regression as to the predetermined time that should be waited based on a length of each text. Furthermore, in one embodiment the action probability is determined by a text classification system, such that the system is continually trained based on each text inputted thereinto.

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First Claim