Google Inc.

Sumit Agarwal

Rama Ranganath

Wesley T Chan

Dipchand Nishar

Deepak Jindal

Leora Ruth Wiseman

Natalia Marmasse

Gudmundur Hafsteinsson

Michael J Lebeau

Gokul Rajaram

Alexander Nicolaou

Vivek Paul Gundotra

Thomas Christopher Korte

Brian Axe

Leora Wiseman

Celia Neuhoff Saino

Andrew E Rubin

Ching Law

Andrew Maxwell

David Gehrking

Alex Nicolaou

Shuman Ghosemajumder

Amy Elizabeth Koch

Vic P Gundotra

Alex Carobus

Leshika Samarasinghe

Gregory Joseph Badros

Michael J LeBeau

Ross Koningstein

Salar Arta Kamangar

John Fu

Dipchad Nishar

Vic Gundotra

A method for receiving processed information at a remote device is described. The method includes transmitting from the remote device a verbal request to a first information provider and receiving a digital message from the first information provider in response to the transmitted verbal request. The digital message includes a symbolic representation indicator associated with a symbolic representation of the verbal request and data used to control an application. The method also includes transmitting, using the application, the symbolic representation indicator to a second information provider for generating results to be displayed on the remote device.

Location-based responses to telephone requests

A system and method for associating a document with a concept are provided. One or more idea-electronic document associations is identified, wherein each idea-electronic document association is based on a user performance criteria relative to the electronic document and the idea. At least one of the one or more electronic documents is identified with a concept based on the one or more idea-electronic document associations, wherein the concept is related to the one or more ideas.

Method and system for mining image searches to associate images with concepts

In one implementation, a computer-implemented method includes receiving a parameterless search request, which was provided to a mobile computing device, for information that is relevant to a user of the mobile computing device. The method also includes, in response to the received parameterless search request, identifying with a digital computer system one or more results that are determined to be relevant to the user of the mobile computing device based upon a current context of the mobile computing device. The method further includes providing the results for display to a user of the mobile computing device.

Providing results to parameterless search queries

One or more keywords and/or information about one or more properties may be accepted, and a set of one or more taxonomy categories may be determined using at least some of the keyword(s) and/or property information and perhaps term co-occurrence clusters. The determined taxonomy categories may be presented to an advertising user as an ad targeting suggestion. Each taxonomy category may have at least one associated property (e.g., Web document), that participates in an advertising network. An advertiser selection of a suggested taxonomy category may be accepted, and the serving of an ad of the advertiser may be targeted to each property associated with the selected suggested taxonomy category. Alternatively, such properties may be presented to an advertising user as an ad targeting suggestion.

Suggesting targeting information for ads, such as websites and/or categories of websites for example

In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user.

Providing digital content based on expected user behavior

Suggesting targeting information for ads; such as websites and/or categories of websites for example

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Washington, DC, United States of America

Sumit Agarwal