Michael B O'Leary

US Patent:

20110034223, Feb 10, 2011

Filed:

Aug 6, 2009

Appl. No.:

12/462617

Inventors:

John O'Leary - North Bergen NJ, US
Michael O'Leary - North Bergen NJ, US
Charles Wortmann - Tenafly NJ, US
Chris Rogovich - Wyckoff NJ, US

International Classification:

A63F 9/24
A63F 13/00

US Classification:

463 2, 463 30, 463 42

Abstract:

The present invention comprises a novel golf ball tracking system and method. The present invention allows a user participating in a golf competition to track the golf ball with convenience and ease, without purchasing any additional equipment. The device of the present invention comprises a kiosk operably connected to a video camera, wherein the video camera records at least part of a golf competition, and allows a user to purchase the recording, and/or receive a reward for achieving the desired result of a golf competition.

US Patent:

20120109835, May 3, 2012

Filed:

Oct 28, 2010

Appl. No.:

12/914826

Inventors:

Christopher B. Barefoot - Durham NC, US
Tyler I. Carper - Research Triangle Park NC, US
David D. Dukro - Research Triangle Park NC, US
Kevin N. Magill - Research Triangle Park NC, US
Michael S. O'Leary - Research Triangle Park NC, US
M. Scott Thomason - Durham NC, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06Q 99/00

US Classification:

705319

Abstract:

An apparatus, system, and method are disclosed for filtering third-party generated content in a social network. The method may involve receiving a request to view third-party generated content in a social network. The method may involve determining the group permissions that are set by the user for one or more groups. The user may define group membership. The group permissions define the access privileges to the third-party generated content. The method may also involve filtering the third-party generated content according to the group permissions such that the third-party generated content is filtered prior to its presentation to the requesting third-party user. As a result, certain third-party generated content may be hidden from certain third-party users. In certain embodiments, the user can set individual permissions governing access to the third-party generated content. In addition, filtering of third-party generated content may involve precedence of individual permissions over group permissions and precedence of the most restrictive group permissions when the requesting third-party is a member of numerous groups.

US Patent:

20120192290, Jul 26, 2012

Filed:

Mar 14, 2012

Appl. No.:

13/419764

Inventors:

Christopher B. Barefoot - Durham NC, US
Tyler I. Carper - Research Triangle Park NC, US
David D. Dukro - Research Triangle Park NC, US
Kevin N. Magill - Research Triangle Park NC, US
Michael S. O'Leary - Research Triangle Park NC, US
M. Scott Thomason - Durham NC, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 21/24

US Classification:

726 28

Abstract:

An apparatus and system are disclosed for filtering third-party generated content in a social network. A receive module receives, from a requesting third-party user, a request to view third-party generated content that is generated by one or more third-party users of a social network. A group module determines one or more group permissions set by a user for one or more groups. The one or more group permissions define access to the third-party generated content. A filter module filters the third-party generated content according to the one or more group permissions such that the third-party generated content is filtered prior to presentation of the third-party generated content to the requesting third-party user in response to the request.

US Patent:

20140059029, Feb 27, 2014

Filed:

Aug 22, 2012

Appl. No.:

13/591689

Inventors:

Kevin N. Magill - Durham NC, US
Michael S. O'Leary - Cary NC, US
Mary K. Rees - Raleigh NC, US
Michael S. Thomason - Raleigh NC, US

Assignee:

INTERNATIONAL BUSINESS MACHINES CORPORATION - Armonk NY

International Classification:

G06F 17/30
G06F 15/16

US Classification:

707706, 707E17108

Abstract:

A method, a system and a computer program product for influencing ranking of URLs in a search engine. In an example embodiment, a computer determines that a posting of a URL has occurred in a social networking environment, the computer tracks accesses of the URL subsequent to the posting of the URL. The computer further determines whether a number of accesses of the URL has increased subsequent to the posting of the URL and, responsive to determining that the number of accesses of the URL has increased subsequent to the posting of the URL, the computer determines whether the number of accesses of the URL has increased by at least a predefined threshold. Further, responsive to determining that the number of accesses of the URL has increased by at least the predefined threshold, the computer increases the ranking of the URL in a search engine.

US Patent:

20210342901, Nov 4, 2021

Filed:

Apr 28, 2021

Appl. No.:

17/243289

Inventors:

- New York NY, US
Song Ting CENG - Brooklyn NY, US
Hong JI - Dix Hills NY, US
Somnath CHOUDHURI - Newark DE, US
Michael K. O'LEARY - Garden City Park NY, US
Riti SINGHAL - Sayreville NJ, US
Sandeep KOLLA - McKinney TX, US
Syed Mohammed Abbas UBAISE - Frisco TX, US
Michael HORGAN - Wilmington DE, US

International Classification:

G06Q 30/04
G06N 20/00
G06Q 10/10
G06Q 30/02
G06Q 40/00
G06F 40/205
G06F 40/295

Abstract:

Systems and methods for machine-assisted document input are disclosed. In one embodiment, a method may include a data extraction application executed by a computer processor: receiving an image of a document/email; generating a transcript of the document/email, wherein the transcript comprises a plurality of text groups from the document/email and a location for each text group in the document/email; identifying a vendor associated with the document/email based on contents of one of the text groups and/or one of the locations of the one of one of the text groups; retrieving a vendor-specific machine learning model for the vendor; associating each of the plurality of locations in the document/email with a billing field using the vendor-specific machine learning model; extracting each of the text groups into one of the billing fields based on the association; and transmitting the billing fields with the extracted data to a user electronic device.