Daniel W Snell

US Patent:

20080270309, Oct 30, 2008

Filed:

Jul 16, 2007

Appl. No.:

11/778578

Inventors:

Adam Bennett Brotman - Seattle WA, US
Glen Arthur O'Connor - Renton WA, US
Nandini Ranjitkumar - Seattle WA, US
Todd Brian Guill - Bainbridge Island WA, US
Daniel Martin Snell - Kirkland WA, US
William G. Bronske - Lake Stevens WA, US

Assignee:

Corbis Corporation - Seattle WA

International Classification:

G06Q 99/00
H04L 9/00

US Classification:

705 52, 705 59

Abstract:

Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.

US Patent:

20090048860, Feb 19, 2009

Filed:

Jun 20, 2008

Appl. No.:

12/143703

Inventors:

Adam Bennett Brotman - Seattle WA, US
Glen Arthur O'Connor - Renton WA, US
Nandini Ranjitkumar - Phoenix AZ, US
Todd Brian Guill - Bainbridge Island WA, US
Daniel Martin Snell - Kirkland WA, US
William G. Bronske - Lake Stevens WA, US

Assignee:

Corbis Corporation - Seattle WA

International Classification:

G06Q 99/00

US Classification:

705 1

Abstract:

Automatically determining pricing for at least one unit of content that can be selected and licensed or purchased over a network. Pricing is determined based on an initial price, and at least one of the following: a reviewer rating, content activity, or a customer offer price. Each of these factors may be weighted. The initial price may be a minimum price, a maximum price, a suggested price from a content owner, a pre-calculated market price, or other initial price. Content activity generally reflects user behaviors related to a content item, such as selecting a content item from a search results list, saving it as a favorite, returning to view it, placing it in a virtual shopping cart, or licensing it. Content activity combined with reviewer rating and/or offer price, indicates a “snappyness” score. A new price is dynamically calculated based on the initial price and snappyness score.