Maggie Chiping Chen

US Patent:

20070026799, Feb 1, 2007

Filed:

Jul 28, 2005

Appl. No.:

11/193095

Inventors:

Ah Wang - Irvine CA, US
Scott Lambden - Anaheim CA, US
Maggie Chen - Irvine CA, US
Jeff Chen - Irivine CA, US

International Classification:

H04B 7/00

US Classification:

455041200

Abstract:

Disclosed are devices, systems and methods for integrating a media device with a network. A media device may be connected to a cradle device to receive updates of digital content. The cradle device may be coupled to a wireless link to receive content data and/or signals.

US Patent:

20070067386, Mar 22, 2007

Filed:

Aug 30, 2005

Appl. No.:

11/216844

Inventors:

Arthur MacArthur - Aliso Viejo CA, US
Scott Lambden - Anaheim CA, US
Maggie Chen - Irvine CA, US
Jeff Chen - Irvine CA, US

International Classification:

G06F 3/00
G06F 15/16

US Classification:

709204000, 710001000

Abstract:

Disclosed are a system and method of providing a media server in a data communication network. A device may automatically provide a server in response to application of power to a computing platform and/or computing device.

US Patent:

20070098397, May 3, 2007

Filed:

Nov 1, 2005

Appl. No.:

11/264927

Inventors:

Maggie Chen - Irvine CA, US
Ah Wang - Irvine CA, US

International Classification:

G03B 19/00

US Classification:

396429000

Abstract:

A camera capable of transmitting image data to devices on a network is disclosed.

US Patent:

20140278917, Sep 18, 2014

Filed:

Jun 17, 2013

Appl. No.:

13/919792

Inventors:

- Los Angeles CA, US
Robert Manly - Los Angeles CA, US
Maggie Yeh Chen - San Mateo CA, US
Kelvin Li - Kowloon, HK
David Schwartz - South Pasadena CA, US

International Classification:

G06Q 30/02

US Classification:

705 1443, 705 1454, 705 1441

Abstract:

Systems and methods for creating product advertising campaigns in accordance with embodiments of the invention are disclosed. In one embodiment, a product target generation server system includes a processor, product data including a plurality of attribute-value pairs describing a set of products, semantic models including data describing relationships between product targets, concepts described using categories and attribute-value pairs, and target grouping data constituting a set of groupings of product targets, global performance data including performance data, wherein the processor is configured to identify at least one category in a portion of the product data, determine a product advertising structure based on the product data and the identified at least one category, match a portion of the groupings of product data with the product targets within the global performance data, identify performance data, and generate at least one product target using the identified performance data and the product data.

US Patent:

20140279037, Sep 18, 2014

Filed:

Mar 13, 2013

Appl. No.:

13/799509

Inventors:

- Los Angeles CA, US
Robert Manly - Los Angeles CA, US
Maggie Yeh Chen - San Mateo CA, US
Kelvin Li - Los Angeles CA, US
David Schwartz - South Pasadena CA, US

Assignee:

DataPop, Inc. - Los Angeles CA

International Classification:

G06Q 30/02

US Classification:

705 1466

Abstract:

Systems and methods for creating product advertising campaigns in accordance with embodiments of the invention are disclosed. In one embodiment, a product target generation server system includes a processor, product data including a plurality of attribute-value pairs describing a set of products, semantic models including data describing relationships between product targets, concepts described using categories and attribute-value pairs, and target grouping data constituting a set of groupings of product targets, global performance data including performance data, wherein the processor is configured to identify at least one category in a portion of the product data, determine a product advertising structure based on the product data and the identified at least one category, match a portion of the groupings of product data with the product targets within the global performance data, identify performance data, and generate at least one product target using the identified performance data and the product data.