Christopher T Volinsky

US Patent:

7830815, Nov 9, 2010

Filed:

Oct 25, 2006

Appl. No.:

11/552854

Inventors:

Yehuda Koren - Elizabeth NJ, US
Stephen North - Lebanon NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property II - Reno NV

International Classification:

H04L 12/26

US Classification:

370252, 370255

Abstract:

A method and apparatus for measuring and extracting proximity in networks are disclosed. In one embodiment, the present method receives a network from a user for analysis and extraction of a smaller proximity sub-graph. The method computes a candidate sub-graph and determines at least one Cycle Free Escape Conductivity (CFEC) proximity of at least two nodes in accordance with the candidate sub-graph. The method then extracts and presents a proximity sub-graph that best captures the proximity.

US Patent:

7966171, Jun 21, 2011

Filed:

Oct 31, 2007

Appl. No.:

11/931830

Inventors:

Mazin Gilbert - Warren NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property II, L.P. - Atlanta GA

International Classification:

G06F 17/20

US Classification:

704 8, 704255, 704 9, 704257

Abstract:

Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.

US Patent:

8170866, May 1, 2012

Filed:

Jun 20, 2011

Appl. No.:

13/164347

Inventors:

Mazin Gilbert - Warren NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property II, L.P. - Atlanta GA

International Classification:

G10L 17/20

US Classification:

704 8, 704255, 704257

Abstract:

Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.

US Patent:

8229798, Jul 24, 2012

Filed:

Apr 22, 2008

Appl. No.:

12/107309

Inventors:

Yehuda Koren - Elizabeth NJ, US
Robert Bell - Murray Hill NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property I, L.P. - Atlanta GA

International Classification:

G06Q 30/00

US Classification:

705 267, 705 729, 705 2663

Abstract:

Systems and techniques for generating item ratings for a user in order to allow for recommendations of selected items for that user. A set of known ratings of different items for a plurality of users is collected and maintained, and these known ratings are used to estimate rating factors influencing ratings, including user and item factors. Initial user and item factors are estimated and new user and item factors are successively added, with the original rating factors being progressively shrunk so as to reduce their magnitude and their contribution to the rating estimation as successive factors are added. When an appropriate number of user and item factors has been estimated, the rating factors are used to estimate ratings of items for a user, and the estimated ratings are employed to generate recommendations for that user.

US Patent:

8463662, Jun 11, 2013

Filed:

Jun 18, 2012

Appl. No.:

13/526112

Inventors:

Yehuda Koren - Elizabeth NJ, US
Robert Bell - Murray Hill NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property I, L.P. - Atlanta GA

International Classification:

G06Q 10/00

US Classification:

705 267, 705 729, 705 731

Abstract:

Systems and techniques for generating item ratings for a user in order to allow for recommendations of selected items for that user. A set of known ratings of different items for a plurality of users is collected and maintained, and these known ratings are used to estimate rating factors influencing ratings, including user and item factors. Initial user and item factors are estimated and new user and item factors are successively added, with the original rating factors being progressively shrunk so as to reduce their magnitude and their contribution to the rating estimation as successive factors are added. When an appropriate number of user and item factors has been estimated, the rating factors are used to estimate ratings of items for a user, and the estimated ratings are employed to generate recommendations for that user.

US Patent:

8565122, Oct 22, 2013

Filed:

Nov 2, 2010

Appl. No.:

12/938340

Inventors:

Yehuda Koren - Elizabeth NJ, US
Stephen North - Lebanon NJ, US
Christopher Volinsky - Morristown NJ, US

Assignee:

AT&T Intellectual Property II, L.P. - Atlanta GA

International Classification:

H04L 29/12
H04L 12/24
H04L 12/56

US Classification:

370255, 370241

Abstract:

A method and apparatus for measuring and extracting proximity in networks are disclosed. In one embodiment, the present method receives a network from a user for analysis and extraction of a smaller proximity sub-graph. The method computes a candidate sub-graph and determines at least one Cycle Free Escape Conductivity (CFEC) proximity of at least two nodes in accordance with the candidate sub-graph. The method then extracts and presents a proximity sub-graph that best captures the proximity.

US Patent:

20090063254, Mar 5, 2009

Filed:

Aug 20, 2008

Appl. No.:

12/195246

Inventors:

Deirdre Paul - Madison NJ, US
Christopher Volinsky - Morristown NJ, US

International Classification:

G06Q 50/00
G06Q 10/00

US Classification:

705 10

Abstract:

A method and apparatus for identifying influencers are disclosed. For example, the method obtains a list of customers, and determines a social network for each of the customers. The method selects one or more attributes to be used for predicting a measure of influence for each of the customers, and determines one or more influencers in the social network by using the one or more attributes.

US Patent:

20100057560, Mar 4, 2010

Filed:

Sep 4, 2008

Appl. No.:

12/204440

Inventors:

Ann Skudlark - Westfield NJ, US
Pradeep Bansal - Monmouth Junction NJ, US
Carroll W. Creswell - Basking Ridge NJ, US
Colin R. Goodall - Rumson NJ, US
Guy J. Jacobson - Bridgewater NJ, US
Andrea Skarra - Chatham NJ, US
Christopher Volinsky - Morristown NJ, US
James W. Watson - Mendham NJ, US

Assignee:

AT&T Labs, Inc. - Austin TX

International Classification:

G06Q 30/00

US Classification:

705 1449

Abstract:

Systems and techniques for predicting customer response to content and selecting content for delivery to particular customers in accordance with the predictions. As information is delivered to and received from a plurality of customers over multiple communication channels, data streams representing communications between providers and customers are analyzed and selected data extracted therefrom. Linkages are created between data collected from the different channels and data are anonymized. The data are analyzed to create a customer response predictor for each customer that models customer behavior and predicts customer response to advertisements. As content, such as advertisements, are to be delivered to a destination, information from a predictor created using data collected from a customer associated with the destination is used to select appropriate content.