Methods, apparatuses and computer program products for generating machine learning model predicted issue creation user interface
AssigneeAtlassian Pty Ltd.
InventorsMarie CASABONNE, Michael KULINSKI, Nicole TOLLEFSON
Life of this patent
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Abstract
Various examples herein described are related to methods, apparatuses, and computer program products for generating contextualized user interfaces (including, but not limited to, contextual menu user interface components and machine learning predicted issue creation user interface components) in complex network computer systems.
Claims20
An apparatus comprising at least one processor and at least one non-transitory memory comprising program code, the at least one non-transitory memory and the program code configured to, with the at least one processor, cause the apparatus to at least:
- generate at least one trained machine learning model based on a plurality of historical page data objects and a plurality of historical issue data objects;
- in response to receiving a user selection input of an issue trigger user interface element associated with a page data object user interface:
- feed highlighted page content metadata and unhighlighted page content metadata associated with the page data object user interface to the at least one trained machine learning model;
- and
- receive predicted issue field metadata and predicted issue value metadata from the at least one trained machine learning model;
- and
- cause rendering a machine learning predicted issue creation user interface component based on the predicted issue field metadata and the predicted issue value metadata.
A computer-implemented method comprising:
- generating at least one trained machine learning model based on a plurality of historical page data objects and a plurality of historical issue data objects;
- in response to receiving a user selection input of an issue trigger user interface element associated with a page data object user interface:
- feeding highlighted page content metadata and unhighlighted page content metadata associated with the page data object user interface to the at least one trained machine learning model;
- and
- receiving predicted issue field metadata and predicted issue value metadata from the at least one trained machine learning model;
- and
- causing rendering a machine learning predicted issue creation user interface component based on the predicted issue field metadata and the predicted issue value metadata.
A computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising an executable portion configured to:
- generate at least one trained machine learning model based on a plurality of historical page data objects and a plurality of historical issue data objects;
- in response to receiving a user selection input of an issue trigger user interface element associated with a page data object user interface:
- feed highlighted page content metadata and unhighlighted page content metadata associated with the page data object user interface to the at least one trained machine learning model;
- and
- receive predicted issue field metadata and predicted issue value metadata from the at least one trained machine learning model;
- and
- cause rendering a machine learning predicted issue creation user interface component based on the predicted issue field metadata and the predicted issue value metadata.
Dependencies are inferred from the claim text.