18493509. System and Method for Selecting and Providing Available Actions from One or More Computer Applications to a User simplified abstract (GOOGLE LLC)
System and Method for Selecting and Providing Available Actions from One or More Computer Applications to a User
Organization Name
Inventor(s)
Tim Wantland of Bellevue WA (US)
Brandon Barbello of Mountain View CA (US)
Robert Berry of New York NY (US)
System and Method for Selecting and Providing Available Actions from One or More Computer Applications to a User - A simplified explanation of the abstract
This abstract first appeared for US patent application 18493509 titled 'System and Method for Selecting and Providing Available Actions from One or More Computer Applications to a User
Simplified Explanation
The computing system described in the patent application takes model input with context data, processes it through a machine-learned model, and provides data descriptive of the semantic entity or entities to computer applications. The applications then provide output describing available actions with respect to the semantic entity or entities.
- The computing system inputs model input with context data into a machine-learned model.
- The system receives model output describing one or more semantic entities referenced by the context data.
- Data descriptive of the semantic entity or entities is provided to computer applications.
- Application outputs describe available actions of the corresponding computer applications with respect to the semantic entity or entities.
- At least one indicator is provided to the user to describe the available actions of the corresponding computer applications.
- Potential Applications
- Natural language processing
- Information retrieval systems
- Virtual assistants
- Problems Solved
- Efficiently processing and analyzing context data
- Providing relevant information to computer applications
- Improving user interaction with computer applications
- Benefits
- Enhanced user experience
- Increased efficiency in accessing information
- Improved decision-making capabilities
Original Abstract Submitted
A computing system can be configured to input model input that includes context data into a machine-learned model and receive model output that describes one or more semantic entities referenced by the context data. The computing system can be configured to provide data descriptive of the semantic entity or entities to the computer application(s) and receive application output(s) respectively from the computing application(s) in response to providing the data descriptive of semantic entity or entities to the computer application(s). The application output(s) received from each computer application can describe available action(s) of the corresponding computer application with respect to the semantic entity or entities. The computing system can be configured to provide at least one indicator to a user that describes the available action(s) of the corresponding computer applications with respect to the semantic entity or entities.
