Brian Thomas Webb

US Patent:

8052521, Nov 8, 2011

Filed:

Jun 27, 2008

Appl. No.:

12/163754

Inventors:

Brian A. Webb - Sunnyvale CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

A63F 13/12

US Classification:

463 25, 463 23, 2733173, 2733174, 2733175, 2733176, 377 5, 700 90, 700 91, 705 37

Abstract:

Techniques are provide for linking actions in an online fantasy sports game to a currency balance associated with a user of the game. The techniques adjust the balance by a first quantity in response to a sports player action, where the first quantity is based upon the player action, and adjust the balance by a second quantity in response to transfer of a sports player to or from a fantasy sports team associated with the user, where the second quantity is based upon a value of the sports player; and, prevent transfer of the sports player to the fantasy sports team in response to the second quantity being greater than the balance. The currency balance may be increased by the first quantity in response to the sports player action. The sports player action may include scoring a number of game points, and the first quantity may be based upon the number of game points.

US Patent:

20080125228, May 29, 2008

Filed:

Nov 29, 2006

Appl. No.:

11/606717

Inventors:

Scott B. Ware - Santa Clara CA, US
Brian A. Webb - Sunnyvale CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

A63F 9/24

US Classification:

463 42

Abstract:

The evaluation of players in the context of a fantasy sports league is disclosed. In order to evaluate whether a fantasy team owner should add one player to the starting lineup of the team and drop another, player stat predictions are first used to predict end-of-season stats for the current starting lineup of a team. Historical and current league stat/point functions may then be used to determine how many points the team is expected to earn during the course of a full season based on the predicted end-of-season stats. This same methodology is then applied to a proposed revised lineup to determine how many points the revised team is expected to earn during the course of a full season. The difference between the projected point totals for the current team and the revised team are an indication of the value of this specific transaction to this specific team.

US Patent:

20190197069, Jun 27, 2019

Filed:

Mar 15, 2013

Appl. No.:

14/343931

Inventors:

- Sunnyvale CA, US
Todd Beaupre - Sunnyvale CA, US
Brian Webb - Sunnyvale CA, US

International Classification:

G06F 16/9535
G06Q 50/00
G06F 16/435

Abstract:

A method for content selection. The method comprises identifying a reference to content associated with a social media network user having a ranking above a pre-determined level, identifying one or more occurrences of the reference attributed to at least one additional social media network user, where the one or more occurrences are indicative of popularity of the content, and selecting the reference corresponding to the content based on the popularity.

US Patent:

20180260653, Sep 13, 2018

Filed:

May 14, 2018

Appl. No.:

15/979316

Inventors:

- New York NY, US
Mihyoung Sally Lee - Sunnyvale CA, US
Brian Webb - Sunnyvale CA, US
Ralph Rabbat - San Carlos CA, US
Ali Khodaei - Sunnyvale CA, US
Paul Krakow - Belmont CA, US
Dave Todd - Sunnyvale CA, US
Samantha Giordano - Sunnyvale CA, US
Max Chern - Sunnyvale CA, US

International Classification:

G06K 9/46
G06K 9/32
G06K 9/62
G06T 3/00

Abstract:

Briefly, embodiments disclosed herein relate to image cropping, such as for digital images, for example.

US Patent:

20160314189, Oct 27, 2016

Filed:

Jun 30, 2016

Appl. No.:

15/199420

Inventors:

- Sunnyvale CA, US
Brian Webb - Sunnyvale CA, US

International Classification:

G06F 17/30

Abstract:

A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.

US Patent:

20160189343, Jun 30, 2016

Filed:

Dec 31, 2014

Appl. No.:

14/588213

Inventors:

- Sunnyvale CA, US
Sally Lee - Sunnyvale CA, US
Brian Webb - Sunnyvale CA, US
Ralph Rabbat - Sunnyvale CA, US
Ali Khodaei - Sunnyvale CA, US
Paul Krakow - Belmont CA, US
Dave Todd - Sunnyvale CA, US
Samantha Giordano - Sunnyvale CA, US
Max Chern - Sunnyvale CA, US

International Classification:

G06T 3/40
G06K 9/46

Abstract:

Briefly, embodiments disclosed herein relate to image cropping, such as for digital images, for example.

US Patent:

20150220615, Aug 6, 2015

Filed:

Feb 3, 2014

Appl. No.:

14/170952

Inventors:

- Sunnyvale CA, US
Brian Webb - Sunnyvale CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 17/30

Abstract:

A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.