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US Patent 8020104 Contextual responses based on automated learning techniques

Patent 8020104 was granted and assigned to Microsoft on September, 2011 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Current Assignee
Microsoft
Microsoft
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
80201041
Patent Inventor Names
Eric L. Matteson1
James O. Robarts1
Date of Patent
September 13, 2011
1
Patent Application Number
110339741
Date Filed
January 11, 2005
1
Patent Citations Received
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US Patent 11671920 Method and system for operating a multifunction portable electronic device using voice-activation
2
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US Patent 11670289 Multi-command single utterance input method
3
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US Patent 11675829 Intelligent automated assistant for media exploration
4
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US Patent 11687620 Artificial intelligence generated synthetic image data for use with machine language models
5
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US Patent 11699448 Intelligent assistant for home automation
6
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US Patent 11705130 Spoken notifications
7
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US Patent 11710482 Natural assistant interaction
8
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US Patent 12080287 Voice interaction at a primary device to access call functionality of a companion device
9
...
Patent Primary Examiner
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Tadeese Hailu
1
Patent abstract

Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.

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