Feedback based content generation in graphical interfaces
AssigneeNVIDIA Corporation
InventorsShie Mannor, Gal Chechik
Life of this patent
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Abstract
Apparatuses, systems, and techniques to identify one or more modifications to objects within an environment. In at least one embodiment, objects are identified in an image, based on extracted feedback information, using one or more machine learning models, for example, using direct and/or implicit feedback of user interaction with one or more objects in an environment.
Claims20
A computer-implemented method comprising:
- obtaining feedback information associated with one or more aspects of a user interface, wherein the feedback information comprises implicit feedback and explicit feedback;
- extracting one or more features indicative of the feedback information;
- causing one or more machine learning models to determine one or more modifications to the one or more aspects of the user interface based, at least in part, on the one or more features;
- and
- performing the one or more modifications to the one or more aspects of the user interface.
A non-transitory computer readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to:
- obtain feedback information associated with a user of a user interface, wherein the feedback information comprises implicit feedback and explicit feedback of the user;
- extract one or more features corresponding to the feedback information;
- determine, using one or more neural networks, one or more modifications to one or more aspects of the user interface based, at least in part, on the one or more features;
- and
- modify the user interface based on the one or more modifications to the one or more aspects of the user interface.
A system comprising:
- one or more processors to:
- obtain feedback information associated with a user of a user interface, wherein the feedback information comprises implicit feedback and explicit feedback of the user;
- extract one or more features corresponding to the feedback information;
- determine, using one or more neural networks, one or more modifications to one or more aspects of the user interface based, at least in part, on the one or more features;
- and
- modify the user interface based on the one or more modifications to the one or more aspects of the user interface.
Dependencies are inferred from the claim text.