Dynamically scalable summaries with adaptive graphical associations between people and content
AssigneeMicrosoft Technology Licensing, LLC
InventorsJason Thomas Faulkner, Shalendra Chhabra, Eric R. Sexauer
Life of this patent
Estimating the term…
Loading patent…
AssigneeMicrosoft Technology Licensing, LLC
InventorsJason Thomas Faulkner, Shalendra Chhabra, Eric R. Sexauer
Estimating the term…
The techniques disclosed herein improve existing systems by providing a system that automatically generates a scalable summary with adaptable graphical associations between people and content. The system can select a level of detail that can be applied to a process for generating a summary of content. The level of detail can be based on a user's engagement with respect to one or more events. The system can improve the usability of the summary by selecting a level of detail that is optimized for the user's contextual status. The system also improves the user's interaction with a computer by providing an adaptable layout of information indicating a source of content. The adaptable layout allows users to readily identify topics, content sources, and high-priority summary sections regardless of the level of detail that is selected for the summary.
A method performed by a data processing system for analyzing segments of a document having content to identify one or more users for generating graphical associations between the one or more users and sections of a summary of the document, the method comprising:
A system for analyzing segments of a document having content to identify one or more users for generating graphical associations between the one or more users and sections of a summary of the document, the system comprising:
A computer-readable storage medium having encoded thereon computer-executable instructions to cause one or more processing units of a system to analyze segments of a document having content to identify one or more users for generating graphical associations between the one or more users and sections of a summary of the document, computer-executable instructions to cause one or more processing units of a system to:
Dependencies are inferred from the claim text.