Google Inc.

Amazon Technologies, Inc.

Nokia Corporation

Nokia Technologies Oy

Other

Nokia Corpoaration

Timothy Youngjin Sohn

Erwin Can Sar

Andrew Stephen Tomkins

Vijay Umapathy

Jacqueline Amy Tsay

Aaron Michael Donsbach

Kenneth Mark Karakotsios

Francislav Petrov Penov

Marc Alexander Najork

Daniel Bibireata

Sujith Ravi

Geoffrey Heller

Kah Kuen Fu

Tristan Harris

Twum Djin

Andrew Chang Huang

Michael Bendersky

Mingyang Zhang

Richard Howard Suplee, Iii

Paul Roland Lambert

Seth Isaac Glickman

Matthew Vincent Dierker

Xuanhui Wang

Thomas Nelson

Elizabeth Bales

Peter Shao-sen Young

Quinn Able Jacobson

Yonghui Wu

Brian Strope

Hiroshi Horii

Balint Miklos

Sreekumar R Nair

Tobias Kaufmann

Cynthia Kuo

Bogdan Prisacari

Yun-hsuan Sung

Charles B Zapata

Benjamin N Lee

Julia Proskurnia

Gregory R Bullock

John Oliver Por

Adriana Moscatelli

Xu Chen

Yana Yushkina

Jeffrey A White

Gabriel Mintzer Bender

Thijs Van As

Greg Schechter

Juan Alberto Mojica

Justin Gabriel Donnelly

Agathe Battestini

Gagan Bansal

Michael Blair Crouse

Rachel Hinman

Victor Anchidin

Weidong Shi

Frank Goodman

Bryan Kenneth Rea

Gabrielle Chung

Carlos Augusto Marin Capriles

Wilson Shih-Wei Sun

Harim Kim

Lilyana Simeonova Mihalkova

Bhavesh Sethi

Duncan Andres Mercer

Hiba Wasef Fakhoury

Leonardo Jesus Peña

Tarun Bansal

Thomas Lukaszewicz

Anudeep Palanki

Jason Xia Hu

Allison Stanfield

Adhyas Avasthi

Jon Robert Buchwald

Ji Young Lee

Behzad Golshan

Katherine Anna Evans

Cole Austin Bevis

Tobias Bosch

Yinan Wang

Kaushik Roy

Justin Tzi-jay Lu

Do Kook Choe

Ettore Randazzo

Rami Eid Sammouf Al-Rfou'

A browser-based tool is disclosed for providing context-based assistance during web browsing. An example method involves receiving a contextual search request pertaining to main content displayed in a browser's display area, extracting content from the main content, receiving a contextual suggestion based on the extracted content, and displaying the contextual suggestion in a designated contextual search area within the browser. This innovative approach streamlines the search process by providing users with relevant suggestions based on the content they are currently viewing, thereby improving efficiency in navigating online information.

Contextual search tool in a browser interface

Methods and apparatus related to determining one or more user habits for a user. A group of one or more past user activity occurrences of a user may be determined based on similarity between the past user activity occurrences of the group. A user habit may be determined based on the past user activity occurrences of the group.

Determining a user habit

An example method includes receiving, by a computing system, an identification of a recipient of an electronic message being composed from a message account associated with a user; predicting, by the computing system and based on text contained in previous electronic messages sent from the message account, text for a body of the electronic message; and outputting, for display, the predicted text for optional selection and insertion into the body of the electronic message.

Recipient based text prediction for electronic messaging

A computing system is described that includes user interface components configured to receive typed user input; and one or more processors. The one or more processors are configured to: receive, by a computing system and at a first time, a first portion of text typed by a user in an electronic message being edited; predict, based on the first portion of text, a first candidate portion of text to follow the first portion of text; output, for display, the predicted first candidate portion of text for optional selection to append to the first portion of text; determine, at a second time that is after the first time, that the electronic message is directed to a sensitive topic; and responsive to determining that the electronic message is directed to a sensitive topic, refrain from outputting subsequent candidate portions of text for optional selection to append to text in the electronic message.

Selective text prediction for electronic messaging

Methods and apparatus related to determining additional features for a user task entry of a user based on a user habit of the user. For example, one or more aspects of a user task entry of a user may be compared to one or more aspects of a user habit of the user to determine a correlation measure between the task entry and the user habit. If the correlation measure satisfies a threshold, one or more additional features of the user task entry may be determined based on the user habit. For example, the user habit may include one or more trigger indicators that indicate an actual entry or anticipated entry of the user into the user habit, and one or more of the trigger indicators may be utilized to determine task trigger indicators for the user task entry.

Determining additional features for a task entry based on a user habit

Methods and apparatus related to determining a ranking of class members of a task component class. A task component class identifier may be identified, the task component class identifier having a plurality of associated class members. One or more task completion indicators having the identified at least one task component class identifier may be determined. Each of the task completion indicators may indicate which of the associated class members was utilized to complete a task. One or more of the associated class members for the task component class identifier may be ranked. The ranking may be based on frequency of occurrence of the given associated class member in the task completion indicators.

Selecting an action member in response to input that indicates an action class

A method of task management executes at a computing device having one or more processors and memory. The memory stores one or more programs configured for execution by the one or more processors. There is received a description of a task associated with a user. Upon receipt of the description of the task, one or more entities associated with the task are identified using at least the description of the task and geographic information about the user. Information is identified for performing the task with the at least one respective entity in the one or more entities based upon an identity of the entity. This identified information for performing the task is then formatted for use by the user.

Systems and methods for task assistance

Methods, systems, apparatus, including computer programs encoded on computer storage medium, to facilitate identification of additional trigger-terms for a structured information card. In one aspect, the method includes actions of accessing data associated with a template for presenting structured information, wherein the accessed data references (i) a label term and (ii) a value. Other actions may include obtaining a candidate label term, identifying one or more entities that are associated with the label term, identifying one or more of the entities that are associated with the candidate label term, and for each particular entity of the one or more entities that are associated with the candidate label term, associating, with the candidate label term, (i) a label term that is associated with the particular entity, and (ii) the value associated with the label term.

Search and retrieval of structured information cards

Ranking and selecting task components based on frequency of completions

Growing community of inventors

Mountain View, CA, United States of America

Timothy Youngjin Sohn