Google Inc.

Consona Crm Inc.

Kanisa, Inc.

Scott B Huffman

Pravir Kumar Gupta

Bo Wang

Sunil Vemuri

Arthur Edmond Blume

Omer Bar-or

Max Copperman

David Kay

Ida Mayer

Nitin Mangesh Shetti

Mark A Angel

Javier Alejandro Rey

Jeffrey A Boortz

Raya Fratkina

Barnaby John James

Jeffrey H Rudy

Natalia Marmasse

Rehan Khan

Robert Stern

Uri Bernstein

Monica Anderson

Igor Ukrainczyk

Omer Bar-Or

Systems, methods and apparatus for invoking actions at a second user device from a first user device. A method includes determining that a first user device has an associated second user device; accessing specification data that specifies a set of user device actions that the second user device is configured to perform; receiving command inputs for the first user device; for each command input, determining whether the command input resolves to one of the user device actions; for each command input not determined to resolve any of the user device actions, causing the command input to be processed at the first user device; and for each command input determined to resolve one of the user device actions causing the first user device to display in a user interface a dialog by which a user may either accept or deny invoking the user device action at the second user device.

Remote invocation of mobile device actions

Methods, systems, and apparatus, for defining and monitoring an event for a physical entity and the performance of an action in response to the occurrence of the event. A method includes receiving data indicating an event for a physical entity, the event specified in part by a physical environment feature for which the occurrence of the event is to be monitored by the data processing apparatus; receiving data indicating an action associated with the event and to be taken in response to the occurrence of the event; monitoring for the occurrence of the event for the physical entity; and in response to the occurrence of the event, causing the action associated with the event to be performed.

Developer voice actions system

Methods, systems, and apparatus for receiving data identifying an application and a voice command trigger term, validating the received data, inducting the received data to generate an intent that specifies the application, the voice command trigger term, and one or more other voice command trigger terms that are determined based at least on the voice command trigger term, and storing the intent at a contextual intent database, wherein the contextual intent database comprises one or more other intents.

Systems, methods and apparatus for invoking actions at a second user device from a first user device. A method includes determining that a first user device has an associated second user device; accessing specification data that specifies a set of user device actions that the second user device is configured to perform; receiving command inputs for the first user device; for each command input, determining whether the command input resolves to one of the user device actions; for each command input not determined to resolve to any of the user device actions, causing the command input to be processed at the first user device; and for each command input determined to resolve one of the user device actions causing the first user device to display in a user interface a dialog by which a user may either accept or deny invoking the user device action at the second user device.

Methods, systems, and apparatus for determining that a software application installed on a user device is compatible with a new voice action, wherein the new voice action is specified by an application developer of the software application. One or more trigger terms for triggering the software application to perform the new voice action are identified. An automatic speech recognizer is biased to prefer the identified trigger terms of the new voice action over trigger terms of other voice actions. A transcription of an utterance generated by the biased automatic speech recognizer is obtained. The transcription of the utterance generated by the biased automatic speech recognizer is determined to include a particular trigger term included in the identified trigger terms. Based at least on determining that the transcription of the utterance generated by the biased automatic speech recognizer includes the particular trigger term, execution of the new voice action is triggered.

Voice action biasing system

Methods, systems, and apparatus for receiving, by a voice action system, data specifying a new voice action for an application different from the voice action system. A voice action intent for the application is generated based at least on the data, wherein the voice action intent comprises data that, when received by the application, requests that the application perform one or more operations specified for the new voice action. The voice action intent is associated with trigger terms specified for the new voice action. The voice action system is configured to receive an indication of a user utterance obtained by a device having the application installed, and determines that a transcription of the user utterance corresponds to the trigger terms associated with the voice action intent. In response to the determination, the voice action system provides the voice action intent to the device.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for presenting local query suggestions. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of determining a general location and a specific location for a client device. Methods also include while receiving a query stem, and before receiving an input submitting a query to the search engine, obtaining general queries containing the query stem, each general query having a first quality measure. Methods also include obtaining local queries containing the query stem, each local query having a second quality measure. Methods also include combining at least one of the general queries and at least one of the local queries into combined queries, the combined queries having a presentation order based on the respective quality measures of the queries. Methods also include presenting the queries.

Framework for suggesting search terms

A method and system are disclosed for retrieving information through the use of a multi-stage interaction with a client to identify particular knowledge content associated with a knowledge map. The present invention is an application program running on a server accessed via the world-wide web or other data network using standard Internet protocols, a web browser and web server software. In addition to an automated portion, the present invention allows a human dialog designer to model the way the system elicits information, giving a human feel to the dialog and a better customer experience. In operation, users start a dialog by directing their web browser to a designated web page. This web page asks the user some initial questions that are then passed to a dialog engine. The dialog engine then applies its methods and algorithms to a knowledge map, using dialog control information\ and the user's responses to provide feedback to the user. The feedback may include follow-up questions, relevant documents, and instructions to the user (e.g., instructions to contact a human customer service representative). This dialog engine response is rendered as a web page and returned to the user's web browser. The user can then respond further to the follow-up questions he or she is presented, and the cycle repeats. The invention can be implemented so that it can interact with customers through a wide variety of communication channels including the Internet, wireless devices (e.g., telephone, pager, etc.), handheld devices such as a Personal Data Assistant (PDA), email, and via a telephone where the automated system is delivered using an interactive voice response (IVR) and/or speech-recognition system.

Growing community of inventors

Portola Valley, CA, United States of America

Scott B Huffman