Granted Patent B2

US 12,657,178 · App. 18/818,179 · Granted Jun 16, 2026

Inventors: Brian Samuel Taylor (Highland Park, IL); Matthew Maxwell Murphy (Chicago, IL); James Michael Faris (Chicago, IL)

Assignee: Thinkspan, LLC

G06F16/2291G06F16/2365G06F16/24573G06F16/248G06F16/367G06F18/213G06N20/00

Abstract

Claims (62)

1 . A method comprising:

creating, by a server, a universal data scaffold defining a data structure configured to represent a user's information,

wherein the data structure defines a plurality of attributes configured to include a plurality of attribute values;

receiving, by the server from a computing device associated with a third party, a suggestion to present to a user associated with the server, wherein the suggestion includes a request for the user's information within displayable digital content;

determining, by the server, a likelihood that the request is a necessary component of the suggestion;

in response to the determined likelihood being below a threshold likelihood, modifying the digital content to remove the request for the user's information from the digital content; and

in response to the likelihood being above the threshold likelihood, generating executable computer code configured to, when executed, interface with the universal data scaffold to obtain the requested user information and to display the displayable digital content with the obtained user information populated within the displayable digital content.

2 . The method of claim 1 , further comprising:

upon generating the executable computer code, sending the executable computer code to a user device associated with the user.

3 . The method of claim 1 , wherein creating the executable computer code comprises:

redefining, by the server, the suggestion into a criterion compliant with the universal data scaffold including an attribute, in the plurality of attributes, identifying a type of the criterion and an attribute value associated with the attribute.

4 . The method of claim 1 , further comprising:

dynamically updating, by the server, the universal data scaffold to include the executable computer code in the universal data scaffold.

5 . The method of claim 1 , further comprising configuring the executable computer code to:

obtain an attribute of the plurality of attributes and an attribute value from the universal data scaffold;

determine whether the attribute and the attribute value satisfy the request for the user's information; and

upon determining that the attribute and the attribute value satisfy the request, present the suggestion at a user device.

6 . The method of claim 1 , wherein the executable computer code includes an Artificial Intelligence (AI) model.

7 . The method of claim 1 , wherein determining the likelihood that a request is the necessary component of the suggestion comprises:

determining a suggestion type associated with the suggestion;

determining one or more attributes of the plurality of attributes corresponding to the suggestion type;

determining whether the request for the user's information is associated with the one or more attributes corresponding to the suggestion type; and

upon determining that the request for the user's information is not associated with the one or more attributes corresponding to the suggestion type, determining that the likelihood is less than the threshold likelihood.

8 . The method of claim 1 , further comprising:

providing a notification at a user device that an acceptance of the suggestion provides an indication that the user device includes an attribute in the plurality of attributes and an attribute value satisfying the request for the user's information.

9 . The method of claim 1 , wherein the executable computer code includes an artificial intelligence (AI) model, the method further comprising:

providing the AI model to a user device, wherein the AI model is configured to:

obtain the plurality of attributes associated with the universal data scaffold and the plurality of attribute values associated with the universal data scaffold;

categorize the user associated with the plurality of attributes and the plurality of attribute values; and

based on the categorization, provide the suggestion to the user device.

10 . The method of claim 1 , wherein the data structure includes a hierarchical graph including a plurality of nodes, the plurality of nodes representing the plurality of attributes.

11 . A system comprising one or more hardware processors and a non-transitory computer-readable storage medium storing executable instructions that, when executed by the one or more hardware processors, cause the one or more hardware processors to perform steps comprising:

creating, by a server, a universal data scaffold defining a data structure configured to represent a user's information,

wherein the data structure defines a plurality of attributes configured to include a plurality of attribute values;

receiving, by the server from a computing device associated with a third party, a suggestion to present to a user associated with the server, wherein the suggestion includes a request for the user's information within displayable digital content;

determining, by the server, a likelihood that the request is a necessary component of the suggestion;

in response to the determined likelihood being below a threshold likelihood, modifying the digital content to remove the request for the user's information from the digital content; and

in response to the likelihood being above the threshold likelihood, generating executable computer code configured to, when executed, interface with the universal data scaffold to obtain the requested user information and to display the displayable digital content with the obtained user information populated within the displayable digital content.

12 . The system of claim 11 , wherein the instructions, when executed, further cause the one or more hardware processor to perform steps comprising:

upon generating the executable computer code, sending the executable computer code to a user device associated with the user.

13 . The system of claim 11 , wherein creating the executable computer code comprises:

redefining, by the server, the suggestion into a criterion compliant with the universal data scaffold including an attribute, in the plurality of attributes, identifying a type of the criterion and an attribute value associated with the attribute.

14 . The system of claim 11 , wherein the instructions, when executed, further cause the one or more hardware processor to perform steps comprising:

dynamically updating, by the server, the universal data scaffold to include the executable computer code in the universal data scaffold.

15 . The system of claim 11 , further comprising configuring the executable computer code to:

obtain an attribute of the plurality of attributes and an attribute value from the universal data scaffold;

determine whether the attribute and the attribute value satisfy the request for the user's information; and

upon determining that the attribute and the attribute value satisfy the request, present the suggestion at a user device.

16 . The system of claim 11 , wherein the executable computer code includes an Artificial Intelligence (AI) model.

17 . The system of claim 11 , wherein determining the likelihood that a request is the necessary component of the suggestion comprises:

determining a suggestion type associated with the suggestion;

determining one or more attributes of the plurality of attributes corresponding to the suggestion type;

determining whether the request for the user's information is associated with the one or more attributes corresponding to the suggestion type; and

upon determining that the request for the user's information is not associated with the one or more attributes corresponding to the suggestion type, determining that the likelihood is less than the threshold likelihood.

18 . The system of claim 11 , wherein the instructions, when executed, further cause the one or more hardware processor to perform steps comprising:

providing a notification at a user device that an acceptance of the suggestion provides an indication that the user device includes an attribute in the plurality of attributes and an attribute value satisfying the request for the user's information.

19 . The system of claim 11 , wherein the executable computer code includes an artificial intelligence (AI) model, and wherein the instructions, when executed, further cause the one or more hardware processor to perform steps comprising:

providing the AI model to a user device, wherein the AI model is configured to:

obtain the plurality of attributes associated with the universal data scaffold and the plurality of attribute values associated with the universal data scaffold;

categorize the user associated with the plurality of attributes and the plurality of attribute values; and

based on the categorization, provide the suggestion to the user device.

20 . The system of claim 11 , wherein the data structure includes a hierarchical graph including a plurality of nodes, the plurality of nodes representing the plurality of attributes.

Assignments (1)

Continuity (4)

References Cited (70)