Machine learning list classification
AssigneeApple Inc.
InventorsBicrumjit S. Bhullar, Dongning Wang
Life of this patent
Estimating the term…
Abstract
The present application relates to devices and components including apparatus, systems, and methods to utilize a machine-learning model for generating and/or organizing lists within an application. In some embodiments, the machine-learning model may be utilized for determining classifications for entries within the list, where the classifications can be utilized for organizing the list.
Claims20
One or more non-transitory computer-readable media having instructions stored thereon that, when executed by one or more processors of a device, cause the one or more processors to:
- generate a representation of a list of items in a user interface for displaying the list within an application on the device;
- receive an input value to be included as an item in the list;
- identify a machine-learning model corresponding to the list from one or more machine-learning models for one or more lists;
- determine, using the identified machine-learning model, a classification for the input value;
- assign the input value to the classification within the application;
- and
- update the representation of the list of items to include the item corresponding to the input value in the list.
A method, comprising:
- generating, by a device, a representation of a list of items in a user interface for displaying the list within an application on the device;
- receiving, by the device, an input value to be included as an item in the list;
- identifying, by the device, a machine-learning model corresponding to the list from one or more machine-learning models for one or more lists;
- determining, by the device using the identified machine-learning model, a classification for the input value;
- assigning, by the device, the input value to the classification within the application;
- and
- updating, by the device, the representation of the list of items to include the item corresponding to the input value in the list.
A device, comprising:
- memory to store one or more machine-learning models;
- and
- one or more processors coupled to the memory, the one or more processors to:
- generate a representation of a list of items in a user interface for displaying the list within an application on the device;
- receive an input value to be included as an item in the list;
- identify a machine-learning model corresponding to the list from the one or more machine-learning models for one or more lists;
- determine, using the identified machine-learning model, a classification for the input value;
- assign the input value to the classification within the application;
- and
- update the representation of the list of items to include the item corresponding to the input value in the list.
Dependencies are inferred from the claim text.