Google Inc.

Daniel June Hyung Park

Devin Mancuso

Golden Gopal Krishna

Henry Owen Newton-Dunn

Miroslav Bojic

Mindy Pereira

Carl Magnus Borg

Jacob M Klinker

Lily Sin

Alan Bettes

Monica Estela Gonzalez Veron

Edward Leung Chui Jung

Joel R Beukelman

Selim Flavio Cinek

Lucas Dupin Moreira Costa

Allyson E Tong

Artur Tsurkan

Mark Chang

Samuel Birch

Rachel Karin Popkin

Lukas Schubsda

Joel Roger Beukelman

Edward Jung

Kayce Audra Hawkins

Sébastien Marchand

Xialin Yan

Dana Fried

Christopher Matthew Lee

Collin Henry Baker

Taylor Bergquist

Connie Lee Wan

Bret Alan Sepulveda

Jason Randolph

Systems and methods are described that include receiving, in a tab strip generated by a web browser application, a request to generate a tab group, generating the tab group, in response to receiving the request, where the generating includes generating a tab group identifier for the tab group, enabling pausing or starting of an activity associated with a resource accessed by a browser tab within the tab group based on whether the tab group is collapsed or expanded, and storing metadata about the tab group and the browser tab included in the tab group. The systems and methods may further include causing display of the generated tab group in the tab strip with the tab group identifier depicted in at least a portion of a user interface associated with the browser tab where the generated tab group is configured for display based on the metadata.

Browser tab management

Display screen or portion thereof with graphical user interface

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.

Suggesting actions based on machine learning

This document describes techniques and devices for a refined search with machine learning. These techniques improve computer-aided searches through enabling selection of search criteria used in a prior search and providing a refined search result based on that selection. Furthermore, a machine-learning component of a search engine can be altered to improve future search results based on the selection and an indication of the desirability of the refined search result.

Refined search with machine learning

This document describes techniques and devices for task-related sorting, application discovery, and unified bookmarking for application managers. Through use of an application manager, multiple applications (including standalone applications, instant applications, websites, and other content) that a person can use to accomplish a single task, or multiple related tasks, are sorted into discrete groups for display in the application manager. The application manager can automatically recognize relationships between activities performed with the applications and recognize user actions with the applications that are related to the activities. Based on the relationships and user actions, the application manager can automatically determine that the activities and actions represent a task and display a task group that includes the applications that represent the task. The task groups may be visually displayed as a stack, strip, or pile of windows or thumbnails representing each application or other content the person could use for the task.

Task-related sorting, application discovery, and unified bookmarking for application managers

Display screen or a portion thereof with an animated graphical interface

Growing community of inventors

Sunnyvale, CA, United States of America

Daniel June Hyung Park