Richard S Brinkerhoff

US Patent:

6963848, Nov 8, 2005

Filed:

Mar 2, 2000

Appl. No.:

09/517043

Inventors:

Richard Brinkerhoff - Burien WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06F017/60

US Classification:

705 10, 705 8, 705 14

Abstract:

One embodiment of the present invention is a system and method of encouraging customers to review purchased items. Customers are provided with review requests a predetermined amount of time after the customer has purchased an item or had the item delivered. The predetermined amount of time is related to an estimated time it will take the customer to evaluate the item. The reviews may include textual reviews that are presented to other customers and/or item ratings that are used to generate personal recommendations.

US Patent:

7289969, Oct 30, 2007

Filed:

Jun 21, 2002

Appl. No.:

10/177262

Inventors:

David L. Ballenger - Kirkland WA, US
Richard Brinkerhoff - Burien WA, US
David Brown - Seattle WA, US
John Chenault - Seattle WA, US
Ian Clarkson - Seattle WA, US
Jason Ho - Seattle WA, US
Duane Krause - Seattle WA, US
Jason Murray - Redmond WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06Q 10/00

US Classification:

705 28, 705 1, 705 10, 705 26, 700236

Abstract:

A facility for managing ownership of units of an item is described. The facility defines a commingling zone. For units of the item that are outside the commingling zone, the facility attributes ownership among a plurality of owners individually to each of the units. For units of the item that are inside the commingling zone, the facility attributes ownership among the plurality of owners to particular numbers of the units without attributing ownership individually to each of the units. The facility includes a method for reconciling ownership of units in the event of any discovered inaccuracies.

US Patent:

7295990, Nov 13, 2007

Filed:

Sep 27, 2001

Appl. No.:

09/965125

Inventors:

Rick Braumoeller - Bainbridge Island WA, US
Richard Brinkerhoff - Burien WA, US
Jeff Holden - Seattle WA, US
Dennis Lee - Mercer Island WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06F 17/30

US Classification:

705 7, 705 28, 705 29, 705 1

Abstract:

A method, system, and computer-readable medium for dynamically generating actual fulfillment plans for a current order or a potential order so as to enhance the future fulfillment process for expected future orders is described. In some situations, actual delivery information based on one or more such actual fulfillment plans will then be provided to a customer, such as by displaying actual delivery date and/or time before or during the ordering process based on one or more actual fulfillment plans that can be or will be used to fulfill the order. A variety of types of criteria can be used to evaluate the effects of using a fulfillment plan to fulfill a current order, including criteria that consider the modeled future cost of fulfilling expected future orders, such as an overall cost of fulfilling all orders during a specified time period that is at least partially in the future.

US Patent:

7310612, Dec 18, 2007

Filed:

Aug 13, 2003

Appl. No.:

10/640512

Inventors:

Michael Irvin Hyman - Seattle WA, US
Richard Scott Brinkerhoff - Burien WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06Q 30/00
G06F 17/30
G07F 7/00

US Classification:

705 26, 705 27

Abstract:

An electronic catalog system provides an interface for users to author and post pieces of content, referred to as “blurbs,” for viewing by other users. The blurbs submitted by a particular author are made available for viewing in an author-specific blog (web log) format. Blurbs may also be obtained from external sources, such as from blogs hosted by various web sites. A personalized blurb selection component selects blurbs to present to users based on histories of catalog items selected by such users, and/or based on various other criteria. The blurbs selected for a particular user are presented within a personal log or “plog,” which may be updated daily and will typically contain entries from many different authors. User feedback provided on specific blurbs is taken into consideration by the personalized blurb selection algorithms.

US Patent:

7536320, May 19, 2009

Filed:

Nov 16, 2007

Appl. No.:

11/941818

Inventors:

Michael Irvin Hyman - Seattle WA, US
Richard Brinkerhoff - Burien WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06Q 30/00
G06F 17/30

US Classification:

705 26, 705 14, 705 27

Abstract:

Various computer-implemented methods are disclosed for selecting content items, including but not limited to user-submitted blurbs, to present to users. One such method comprises storing user-specific item selection history data identifying particular items, such as catalog items, selected by particular users, and recording responses of a plurality of the users to a content item. The method further comprises determining whether the content item should be presented to a target user based, at least in part, on a degree to which the item selection history of the target user is similar to item selection histories of users who responded favorably to the content item.

US Patent:

7552068, Jun 23, 2009

Filed:

Sep 6, 2005

Appl. No.:

11/220277

Inventors:

Richard Brinkerhoff - Burien WA, US

Assignee:

Amazon Technologies, Inc. - Reno NV

International Classification:

G06Q 90/00

US Classification:

705 10, 705 8, 705 14

Abstract:

One embodiment of the present invention is a system and method of encouraging customers to review purchased items. Customers are provided with review requests a predetermined amount of time after the customer has purchased an item or had the item delivered. The predetermined amount of time is related to an estimated time it will take the customer to evaluate the item. The reviews may include textual reviews that are presented to other customers and/or item ratings that are used to generate personal recommendations.

US Patent:

7747543, Jun 29, 2010

Filed:

Sep 27, 2001

Appl. No.:

09/965121

Inventors:

Rick Braumoeller - Bainbridge Island WA, US
Richard Brinkerhoff - Burien WA, US
Jeff Holden - Seattle WA, US
Dennis Lee - Mercer Island WA, US

Assignee:

Amazon Technologies, Inc - Reno NV

International Classification:

G06Q 30/00

US Classification:

705330

Abstract:

A method, system, and computer-readable medium for dynamically generating actual fulfillment plans for a current order or a potential order so as to enhance the future fulfillment process for expected future orders is described. In some situations, actual delivery information based on one or more such actual fulfillment plans will then be provided to a customer, such as by displaying actual delivery date and/or time before or during the ordering process based on one or more actual fulfillment plans that can be or will be used to fulfill the order. A variety of types of criteria can be used to evaluate the effects of using a fulfillment plan to fulfill a current order, including criteria that consider the modeled future cost of fulfilling expected future orders, such as an overall cost of fulfilling all orders during a specified time period that is at least partially in the future.

US Patent:

7765130, Jul 27, 2010

Filed:

Dec 14, 2007

Appl. No.:

11/957194

Inventors:

Michael Irvin Hyman - Seattle WA, US
Richard Scott Brinkerhoff - Burien WA, US

Assignee:

Amazon.com, Inc. - Seattle WA

International Classification:

G06Q 30/00

US Classification:

705 26

Abstract:

Various computer-implemented methods are disclosed for selecting items, including but not limited to user-submitted blurbs, to present to users. One such method comprises using a plurality of personalized selection algorithms to select items to nominate for presentation to a target user. Each personalized selection algorithm outputs one or more item nominations for the target user together with an associated relevance score for each nominated item. The method further comprises receiving the item nominations and associated relevance scores from the personalized selection algorithms, normalizing the relevance scores, and using at least the normalized relevance scores to select particular items to present to the target user.