Google Inc.

Gokay Baris Gultekin

Emil Constantin Praun

James Anthony Guggemos

Andrew Robert Kirmse

Guang Yu Yang

Tushar Udeshi

Dale Kris Hawkins

Keir Banks Mierle

Pablo Bellver

Tom Carl Stamm

Bill Connor

Behshad Behzadi

Zaheed Sabur

Brian Edmond Brewington

David Singleton

Yang Lu

Xu Liu

Steve Cheng

Shivakumar Venkataraman

Luv Kothari

Thomas Carl Stamm

Vineet Gupta

Akshay Kannan

Angana Ghosh

Steve Okamoto

Domenico Carbotta

Srikanth Pandiri

Gregory Michael Blevins

Qi Wang

Erez Louider

Pradnya Karbhari

Abhinav Jalan

Ramanathan V Guha

Jie Shao

Muxing Chen

Chandan Gopal Lodha

Jan Willem Maarse

Ramananthan V Guha

Guang Yang

James A Guggemos

Implementations set forth herein relate to an automated assistant that can selectively determine whether to incorporate a verbatim interpretation of portions spoken utterances into an entry field and/or incorporate synonymous content into the entry field. For instance, a user can be accessing an interface that provides an entry field (e.g., address field) for receiving user input. In order to provide input for entry field, the user can select the entry field and/or access a GUI keyboard to initialize an automated assistant for assisting with filling the entry field. Should the user provide a spoken utterance, the user can elect to provide a spoken utterance that embodies the intended input (e.g., an actual address) or a reference to the intended input (e.g., a name). In response to the spoken utterance, the automated assistant can fill the entry field with the intended input without necessitating further input from the user.

Voice-controlled entry of content into graphical user interfaces

A computing system is described that obtains, based at least in part on information included in at least one previous communication associated with a user of a computing device, an indication of a future location and a future time and event information associated with the future location and the future time. The computing system obtains a duration of time for the user to travel from a current location of the computing device to the future location, and, based at least in part on the duration of time, obtains a departure time at which the user is predicted to need to depart from the current location in order to arrive at the future location by an arrival time based on the event. The computing system outputs, for transmission to the computing device, an indication associated with the event and including information indicative of the departure time.

Presenting information for a current location or time

Implementations disclosed herein provide for a third-party application an ability to access a first-party notification interface without receiving credentials linked to a first-party user account. In addition, a device-level permission is established such that each third-party application operating on a client device does not need to seek permission to access the notification interface. A third-party application may request an access code from a client device. The access code may be presented to an authentication server. The authentication server may provide an access token and a refresh token to the third-party application. The third party application may provide the access token and data to be included in a notification to the first-party notification interface.

Automatic discovery and retrieval of interoperable applications

Computer-implemented methods for generating and executing user-based standing queries are provided. In one aspect, a method includes determining whether to generate a notification based on a user-based query and geographical context. The method also includes filtering the notification through explicit or inferred filter criteria. Systems and machine-readable media are also provided.

Automatic user-based query generation and execution

A computing system is described that can automatically provide weather forecast information to a user based on the user's expected future location. In some embodiments, the methods can include predicting a future location of a user and storing the future location in the memory, fetching weather forecast information associated with the future location of the user, and outputting, to a mobile device associated with the user, the weather forecast information associated with the future location of the user.

Weather forecasts based on expected location

In general, techniques, devices, and systems for filtering location information received from multiple computing devices are described. In one example, a method includes receiving a first plurality of location indicators from a first mobile computing device and a second plurality of location indicators from a second mobile computing device, wherein the first and second computing devices are both associated with a single user and the first and second pluralities of location indicators are representative of geographical locations at which each of the respective first and second mobile computing devices has been located. The method may also include determining a subset of the location indicators for a period of time, all location indicators included in the subset being associated with the one of the first or second mobile computing devices that moved with the user during the period of time, and outputting information related to the subset of the location indicators.

Location history filtering

Apparatus, systems and methods for predictive query identification for advertisements are disclosed. Candidate query are identified from queries stored in a query log. Relevancy scores for a plurality of web documents are generated, each relevancy score associated with a corresponding web document and being a measure of the relevance of the candidate query to the web document. A web document having an associated relevancy score that exceeds a relevancy threshold is selected. The selected web document is associated with the candidate query.

Query identification and association

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Palo Alto, CA, United States of America

Gokay Baris Gultekin