U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Contextual responses based on automated learning techniques

Patent 6842877 Issued on January 11, 2005. Estimated Expiration Date: Icon_subject April 2, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventors

Assignee

Application

No. 09825152 filed on 04/02/2001

US Classes:

715/708, Context sensitive715/740, Remote operation of computing device715/734, Interactive network representation of devices (e.g., topology of workstations)715/744, Interface customization or adaption (e.g., client server)700/65, Operator control of remotely located element700/66, Having particular position determining apparatue (e.g., portable or handheld)709/228Session/connection parameter setting

Examiners

Primary: Bayerl, Raymond J.
Assistant: Hailu, Tadesse

Attorney, Agent or Firm

Foreign Patent References

  • 0823 813 EP 02/01/1998
  • 05260188 JP 10/01/1993
  • 09091112 JP 04/01/1997
  • WO 9008361 WO 07/01/1990
  • WO 9703434 WO 01/01/1997

International Class

G09G 500

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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