Google Inc.

Xerox Corporation

Tableau Software, Inc.

Trimble Navigation Limited

Hewlett-packard Development Company, L.p.

Richard Carl Gossweiler, Iii

Thomas Henry Taylor

Mehran Sahami

Manish Gordhan Patel

David Avraham Brown

John Wayne Blackburn

Neha Gupta

Daniel John Zigmond

Shumeet Baluja

James Brooks Miller

Lucy Congyun Zhang

Alice S Tull

Vidya Raghavan Setlur

Stuart Kent Card

Mark Wagner

Melanie Karla Tory

Maricia Scott

Sarah E Battersby

Timothy Dharma Heilman

Angel Xuan Chang

Md Enamul Hoque Prince

Isaac James Dykeman

Allison Gyle Woodruff

David Scott Reiss

Marisa Bauer

Ullas Gargi

Mark A Limber

Roy Want

Jock Douglas Mackinlay

Brian Edmond Brewington

Rohan Seth

Maryam Kamvar

Colin Albright McDonough

Matthew W Lowrie

Neha Crosby

Jock Douglas MacKinlay

Krishna Asur Bharat

Bernardo A Huberman

Yong Zhao

Kenneth Wayne Dauber

William Noah Schilit

Yushi Jing

Hrishikesh Balkrishna Aradhye

Gregory Sean Corrado

James Edward Pitkow

Ed H Chi

Kenneth P Fishkin

Beverly L Harrison

James Allely Rowson

Adam Sah

Lichan Hong

Eytan Adar

Michael I Mills

Anuj Uday Gujar

Paul Fontes

Erwin S Tam

Vincent J Hoon

Marisa B L Bauer

Marisa Belen Louick Bauer

Marcia Scott

Kurt W MacDonald

Tobias Hans Höllerer

David N Reiss

A method uses natural language for visual analysis of a dataset. A data visualization application displays a data visualization, at a computer, based on a dataset retrieved from a database using a set of one or more queries. A user specifies a natural language command related to the displayed data visualization, and the computer extracts an analytic phrase from the natural language command. The computer computes semantic relatedness between the analytic phrase and numeric data fields in the dataset. The computer identifies numeric data fields having highest semantic relatedness to the analytic phrase, and also selects a relevant numerical function. The numerical function compares data values in the numeric data fields to a threshold value. The computer retrieves an updated dataset that filters the identified numeric data fields according to the numeric function. The computer then displays an updated data visualization using the updated dataset.

Applying natural language pragmatics in a data visualization user interface

A method uses natural language for visual analysis of a dataset, and is performed at a computer having a display, processors, and memory. The computer displays a data visualization based on a dataset retrieved from a database and receives a first user input to specify a natural language command related to the displayed data visualization. Based on the displayed data visualization and the natural language command, the computer identifies an initial range of values for a first data field in the dataset and displays an editable user interface control showing the initial range of values. The computer receives a second user input, at the user interface control, specifying a modified range of values for the first data field and retrieves an updated dataset from the database using the modified range of values for the first data field. The computer then updates the displayed data visualization using the updated dataset.

Using natural language processing for visual analysis of a data set

A computer-implemented method is described that includes providing a watch defining a body and a watch face on a surface of the body, the body having one or more sensors arranged to sense user inputs in an area adjacent to the body. The method further comprises sensing a motion of an object in the area adjacent to, but not touching, the body using the one or more sensors and changing a display of a pointing element on a graphical user interface on the watch in coordination with the sensed motion.

Gesture-based small device input

A computer-implemented method includes generating code for displaying a two-dimensional media programming schedule grid, receiving a command to compress the grid at a first location along a first dimension, and generating code for displaying the grid with visible graphical fold marks defining a fold area near the first location along the first dimension.

Hiding portions of display content

A method uses natural language for visual analysis of a dataset. The method displays a data visualization based on a first dataset. The method then extracts analytic phrases from a first natural language command related to the data visualization. The method computes conversation centers associated with the first natural language command based on the analytic phrases and computes analytical functions for the conversation centers, thereby creating functional phrases. The method updates the data visualization based on the functional phrases. The method extracts new analytic phrases from a second natural language command related to the updated data visualization and computes a temporary conversation centers associated with the second natural language command based on the new analytic phrases. The method derives new conversation centers from the original conversation centers and the temporary conversation centers using transitional rules. The method then updates the data visualization based on the new conversation centers.

Updating displayed data visualizations according to identified conversation centers in natural language commands

A method uses natural language for visual analysis of a dataset. A data visualization is displayed based on a first dataset. The method then extracts analytic phrases from a natural language command related to the data visualization. The method computes conversation centers based on the analytic phrases and computes analytical functions associated with the conversation centers, thereby creating functional phrases. The method updates the data visualization according to the functional phrases. The method then extracts analytic phrases from a second natural language command related to the updated data visualization, and computes temporary conversation centers from these analytic phrases. The method then computes cohesion between the first analytic phrases and the second analytic phrases to build a set of conversation centers, and computes analytical functions from this set of conversation centers, thereby creating functional phrases. The method updates the data visualization based on the created functional phrases.

Data visualization user interface using cohesion of sequential natural language commands

A method uses natural language processing for visual analysis of a dataset by a computer. The computer displays a data visualization based on a dataset retrieved from a database using a set of one or more queries. The computer receives user input (e.g., keyboard or voice) to specify a natural language command related to the displayed data visualization. Based on the displayed data visualization, the computer extracts one or more independent analytic phrases from the natural language command. The computer further computes semantic relatedness of extracted analytic phrases, and computes analytical functions associated with the extracted analytic phrases, thereby creating functional phrases. The computer requeries the database using an updated set of one or more queries based on the created functional phrases, thereby retrieving an updated dataset. The computer then displays an updated data visualization using the updated dataset.

Systems and methods of using natural language processing for visual analysis of a data set

A method uses natural language processing for visual analysis of a dataset by a computer. The computer displays a data visualization based on a dataset retrieved from a database using a first set of database queries. The computer receives user input (e.g., keyboard or voice) to specify a natural language command related to the displayed data visualization. Based on the displayed data visualization, the computer extracts one or more independent analytic phrases from the natural language command. The computer further computes a set of conversation centers associated with the natural language command based on the set of one or more analytic phrases. The computer then computes a set of analytical functions associated with the set of one or more conversation centers, thereby creating a set of one or more functional phrases. The device then updates the data visualization based on the set of one or more functional phrases.

A method of using natural language processing for visual analysis of a data set includes displaying a data visualization based on a dataset retrieved from a database using a set of one or more queries and receiving a user input to specify a natural language command related to the displayed data visualization. The method further includes, based on the displayed data visualization, extracting one or more independent analytic phrases from the natural language command. The method further includes requerying the database using an updated set of one or more queries based on the extracted analytic phrases, thereby retrieving an updated dataset and displaying an updated data visualization using the updated dataset.

A computer-implemented method includes identifying a computer-based portable program module, automatically altering code in the portable program module to permit display of the module on a television-based display so that the displayed module has a substantially similar appearance on the television-based display as on a computer display, and providing the altered code for execution on a processor connected to a television-based display.

Interactive media display across devices

In one example, a method includes receiving, by a computing device, an indication of a detected force applied to the computing device. The method further comprises determining, by the computing device, that the detected force matches a corresponding input that the computing device associates with a corresponding function that is executable by the computing device. The method further comprises generating, by the computing device and in response to determining that the detected force matches the corresponding input and, a non-visual output based on the corresponding function.

Computing device with force-triggered non-visual responses

A computer-implemented method includes receiving a search request at a central information provider, generating a query containing media-related terms relating to the search request, and submitting the query to a search engine having access to media-related search results, wherein the query is broader than the received search request, and transmitting media-related search results generated in response to the query by the search engine, to a remote device.

Media search broadening

Systems, methods, and computer-readable media are provided for displaying content. In accordance with one implementation, a computer-implemented method is provided that comprises operations performed by one or more processors, including receiving a first query from a first user, displaying a first set of content based on the first query in a first region of a graphical display, the first region being associated with a physical location of the first user, receiving a second query from a second user, and displaying a second set of content based on the second query in a second area of the graphical display, the second region being associated with a physical location of the second user. The method also comprises displaying a third set of content relating to the first query and the second query in a third region of the graphical display that is viewable by the first user and the second user.

Systems, methods, and computer-readable media for displaying content

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Sunnyvale, CA, United States of America

Richard Carl Gossweiler, Iii