Suggesting Actions Based on Machine Learning

This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user dev...

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Bibliographic Details
Main Authors Klinker, Jacob M, Pereira, Mindy, Sin, Lily, Bojic, Miroslav, Newton-Dunn, Henry Owen, Park, Daniel June Hyung, Borg, Carl Magnus, Mancuso, Devin, Krishna, Golden Gopal
Format Patent
LanguageEnglish
Published 06.10.2022
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Summary:This document describes techniques for suggesting actions based on machine learning. These techniques determine a task that a user desires to perform, and presents a user interface through which to perform the task. To determine this task, the techniques can analyze content displayed on the user device or analyze contexts of the user and user device. With this determined task, the techniques determine an action that may assist the user in performing the task. This action is further determined to be performable through analysis of functionalities of an application, which may or may not be executing or installed on the user device. With some subset of the application's functionalities determined, the techniques presents the subset of functionalities via the user interface. By so doing, the techniques enable a user to complete a task more easily, quickly, or using fewer computing resources.
Bibliography:Application Number: US202217808770