US 12,277,581 B2
Methods and systems for personalizing non-profit venue referrals to a prospective visitor
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. 16/908,106.
Application 16/908,106 is a continuation of application No. 16/905,222, filed on Jun. 18, 2020, abandoned.
Application 16/908,106 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 2020/0320596 A1, Oct. 8, 2020
Int. Cl. G06Q 30/02 (2023.01); 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)] 20 Claims
OG exemplary drawing
 
1. A method of providing a coordinated experience for a visitor to a non-profit venue in a group of cooperating non-profit venues, comprising:
providing an interface for management of multimedia assets;
receiving an assignment of multimedia assets relating to displays in one or more site plans;
receiving metadata to associate with multimedia assets;
providing an interface for receipt of personalized interest data for a visitor to a non-profit venue, including data selected from among visitor-provided preference data, passively-collected visitor interaction data, and visitor route data;
receiving personalized interest data for a plurality of visitors to non-profit venues relating to multiple non-profit venues for each visitor, wherein receiving personalized interest data for a plurality of visitors comprises utilizing a machine learning system to analyze photographs taken by the visitors within the non-profit venue during a visit to the non-profit venue;
applying a machine learning algorithm to analyze the metadata and the personalized interest data for the plurality of visitors;
generating a plurality of generic visitor profiles and a corresponding plurality of selection or sequence of non-profit venue location recommendations;
determining personalized interest data for a current visitor during a current visit to the non-profit venue at least in part by utilizing a machine learning system to analyze photographs taken by the prospective visitor during the current visit;
identifying a particular generic visitor profile of the plurality of generic visitor profiles based on the personalized interest data for the current visitor to the non-profit venue, wherein the particular generic visitor profile corresponds to a particular selection or sequence of non-profit venue location recommendations of the corresponding plurality of selection or sequence of non-profit venue location recommendations; and
outputting a recommendation of the particular selection or sequence of non-profit venue locations to a mobile device of the current visitor in real time during the current visit.