Kevin C Ferguson

US Patent:

20100306039, Dec 2, 2010

Filed:

May 28, 2010

Appl. No.:

12/790494

Inventors:

Martin Green - San Francisco CA, US
Andreas Binnewies - Berkeley CA, US
Kevin Ferguson - San Francisco CA, US
Michael Pat Becker - Brooklyn NY, US

Assignee:

Meebo, Inc. - Mountain View CA

International Classification:

G06Q 30/00

US Classification:

705 144

Abstract:

Techniques for customizing the delivery of advertisements to a client. In one embodiment, the customization comprises dynamically determining a length of time for an advertisement, where the length of time represents the minimum amount of time for which the advertisement is to be output (e.g., displayed) by a client. The length of time may be dynamically determined on a per-advertisement based upon multiple criteria.

US Patent:

20140136528, May 15, 2014

Filed:

Nov 4, 2013

Appl. No.:

14/070655

Inventors:

- Mountain View CA, US
Ralph Jacob Cressman - San Francisco CA, US
Mikhail Dhruv - Palo Alto CA, US
Kevin Ferguson - San Francisco CA, US
Umanka Hebbar Karkada - Mountain View CA, US
Jeremy Lazarus - San Francisco CA, US
Benson Luk - San Francisco CA, US

Assignee:

Google Inc. - Mountain View CA

International Classification:

G06F 17/30

US Classification:

707723

Abstract:

The disclosure includes a system and method for providing content recommendation to users on a site. The system includes a processor and a memory storing instructions that, when executed, cause the system to: receive data describing a page on a site visited by a first user; query one or more sources to retrieve one or more candidate items for the first user; determine one or more source types related to the one or more candidate items; determine one or more scores for the one or more candidate items based on an interest profile and the one or more source types; rank the one or more candidate items; determine that an invitation trigger event causing a presentation of an invitation state occurs; determine that a recommendation trigger event causing a presentation of a recommendation state occurs during the invitation state; and provide a recommendation state to the first user.