Jessica P Doherty

US Patent:

20190166184, May 30, 2019

Filed:

Nov 29, 2017

Appl. No.:

15/825391

Inventors:

- Armonk NY, US
Justin McCoy - Austin TX, US
Jessica Doherty - Poughkeepsie NY, US

International Classification:

H04L 29/08
G06Q 50/00
G06F 17/27

Abstract:

A method, system, and computer program product for providing a dynamic estimation on engagements and patterns of content includes: receiving a data packet from an input field of a form on a computing device; analyzing historical data associated with a user to identify patterns between the first string of characters and the historical data; determining one or more related strings of characters from the historical data based on the identified patterns; determining a historic engagement level for each of the one or more related strings of characters; determining a predicted engagement level for the string of characters based on the historic engagement level; and transmitting at least the predicted engagement level to the computing device to cause the computing device to display the predicted engagement level in a selectable field associated with the input field.

US Patent:

20170074540, Mar 16, 2017

Filed:

Nov 11, 2016

Appl. No.:

15/349114

Inventors:

- Armonk NY, US
Jessica P. Doherty - Poughkeepsie NY, US
Jenny S. Li - Danbury CT, US
Maura K. Schoonmaker - Highland NY, US
Tina M. Tarquinio - Poughkeepsie NY, US

International Classification:

F24F 11/00
G05D 23/19
H04L 12/28
G05B 13/02

Abstract:

An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

US Patent:

20160178226, Jun 23, 2016

Filed:

Mar 14, 2016

Appl. No.:

15/068921

Inventors:

- Armonk NY, US
Jessica P. Doherty - Poughkeepsie NY, US
Jenny S. Li - Danbury CT, US
Maura K. Schoonmaker - Highland NY, US
Tina M. Tarquinio - Poughkeepsie NY, US

International Classification:

F24F 11/00
G05B 13/02

Abstract:

An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.

US Patent:

20150159893, Jun 11, 2015

Filed:

Dec 11, 2013

Appl. No.:

14/103270

Inventors:

- Armonk NY, US
Jessica P. Doherty - Poughkeepsie NY, US
Jenny S. Li - Danbury CT, US
Maura K. Schoonmaker - Highland NY, US
Tina M. Tarquinio - Poughkeepsie NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

F24F 11/00
H04L 29/08
G05B 15/02

Abstract:

An intelligent thermostat control system for a building, such as a residential home, that automatically adjusts a thermostat setting in the home based on real-time data continually received from mobile devices and/or social media files associated with the residents. This allows the thermostat controller to override the explicit programmed settings with implicit settings based on activity analysis taking the actual locations and schedules of the residents into account. The intelligent thermostat controller may control different zones differently to take into account the schedules and locations of specific residents associated with specific zones. The temperature controller may also adaptively learn a number of parameters based on monitored data, such as travel times and heating/cooling times for the zones based, to determine times for adjusting the thermostats.