US 12,131,355 B2
Methods and systems for personalizing visitor experience at a non-profit venue using machine learning to predict visitor sentiment
Christine Soule, Woodinville, WA (US); Charles H. Cella, Pembroke, MA (US); and Richard Spitz, Woodinville, WA (US)
Assigned to Olive Seed Industries, LLC, Woodinville, WA (US)
Filed by Olive Seed Industries, LLC, Woodinville, WA (US)
Filed on Jun. 22, 2020, as Appl. No. 16/907,946.
Application 16/907,946 is a continuation of application No. 16/905,222, filed on Jun. 18, 2020.
Application 16/907,946 is a continuation of application No. PCT/US2019/045220, filed on Aug. 6, 2019.
Application 16/905,222 is a continuation of application No. PCT/US2019/045220, filed on Aug. 6, 2019.
Claims priority of provisional application 62/715,018, filed on Aug. 6, 2018.
Prior Publication US 2020/0320578 A1, Oct. 8, 2020
Int. Cl. G06Q 30/02 (2012.01); G01C 21/20 (2006.01); G06F 3/01 (2006.01); G06F 3/0482 (2013.01); G06F 16/435 (2019.01); G06F 16/438 (2019.01); G06F 16/587 (2019.01); G06F 16/953 (2019.01); G06F 16/9535 (2019.01); G06F 16/954 (2019.01); G06N 20/00 (2019.01); G06Q 10/047 (2023.01); G06Q 20/20 (2012.01); G06Q 30/0201 (2023.01); G06Q 30/0203 (2023.01); G06Q 30/0207 (2023.01); G06Q 30/0214 (2023.01); G06Q 30/0217 (2023.01); G06Q 30/0251 (2023.01); G06Q 30/0279 (2023.01); G06Q 30/0282 (2023.01); G06Q 50/00 (2012.01); G06T 5/00 (2006.01); G06T 11/00 (2006.01); G06T 11/60 (2006.01); G06V 20/20 (2022.01); G06V 20/52 (2022.01); G06V 40/16 (2022.01); H04L 9/40 (2022.01); H04L 67/12 (2022.01); H04L 67/50 (2022.01); H04N 7/15 (2006.01); H04N 21/2187 (2011.01); H04W 4/021 (2018.01); H04W 4/024 (2018.01); H04W 4/029 (2018.01); H04W 4/10 (2009.01); H04W 4/12 (2009.01); H04W 4/33 (2018.01); H04W 4/80 (2018.01); H04W 12/06 (2021.01); H04W 12/08 (2021.01); H04W 12/084 (2021.01); G06K 7/14 (2006.01); G06Q 50/26 (2012.01); H04W 12/64 (2021.01)
CPC G06Q 30/0279 (2013.01) [G01C 21/206 (2013.01); G06F 3/013 (2013.01); G06F 3/0482 (2013.01); G06F 16/435 (2019.01); G06F 16/438 (2019.01); G06F 16/587 (2019.01); G06F 16/953 (2019.01); G06F 16/9535 (2019.01); G06F 16/954 (2019.01); G06N 20/00 (2019.01); G06Q 10/047 (2013.01); G06Q 20/20 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0203 (2013.01); G06Q 30/0207 (2013.01); G06Q 30/0214 (2013.01); G06Q 30/0217 (2013.01); G06Q 30/0224 (2013.01); G06Q 30/0236 (2013.01); G06Q 30/0261 (2013.01); G06Q 30/0267 (2013.01); G06Q 30/0271 (2013.01); G06Q 30/0281 (2013.01); G06Q 30/0282 (2013.01); G06Q 50/01 (2013.01); G06T 5/005 (2013.01); G06T 11/00 (2013.01); G06T 11/60 (2013.01); G06V 20/20 (2022.01); G06V 20/52 (2022.01); G06V 40/16 (2022.01); G06V 40/176 (2022.01); H04L 63/0861 (2013.01); H04L 67/12 (2013.01); H04L 67/535 (2022.05); H04N 7/15 (2013.01); H04N 21/2187 (2013.01); H04W 4/021 (2013.01); H04W 4/024 (2018.02); H04W 4/029 (2018.02); H04W 4/10 (2013.01); H04W 4/12 (2013.01); H04W 4/33 (2018.02); H04W 4/80 (2018.02); H04W 12/068 (2021.01); H04W 12/08 (2013.01); H04W 12/084 (2021.01); G06K 7/1417 (2013.01); G06Q 50/26 (2013.01); G06V 2201/10 (2022.01); H04W 12/64 (2021.01)] 10 Claims
OG exemplary drawing
 
1. An information technology platform for personalizing an experience of a visitor at a non-profit venue, the platform comprising:
a network;
a server in communication with the network;
a mobile computing device to be carried by a visitor to a non-profit venue, the mobile computing device in communication with the server via the network, wherein the information technology platform determines personalized information about the visitor;
a recommendation engine associated with the server, wherein the recommendation engine is to receive the personalized information about the visitor, a heat map associated with paths of a plurality of visitors through the non-profit venue, and data related to an ongoing philanthropic campaign, and to determine and output a suggestion for a personalized experience for the visitor based on the personalized information about the visitor, the heat map, and the data related to the ongoing philanthropic campaign, wherein the information technology platform conveys the suggestion for the personalized experience to the visitor, wherein the personalized experience is to encourage philanthropic activity related to an ongoing philanthropic campaign; and
a machine learning system for learning on a training set of data, the learning to train the machine learning system to predict a donation classification of the visitor based on the personalized information about the visitor, wherein the donation classification of the visitor is based, at least in part, on at least one of a capacity of the visitor to donate or a propensity for the visitor to donate.