IP Library › Granted Patent US 11,568,006
Granted Patent B1
US 11,568,006 · App. 16/454,814 · Granted Jan 31, 2023

Systems and methods for electronically matching online user profiles

Inventors: Joseph Robert Brannan (Bloomington, IL); Brian N. Harvey (Bloomington, IL); Ryan Michael Gross (Normal, IL); J. Lynn Wilson (Normal, IL); Matthew Eric Riley, Sr. (Heyworth, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06F16/9535G06F16/9035G06Q40/08
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Quick Facts
Patent No.
US 11,568,006
App. No.
16/454,814
Granted
Jan 31, 2023
Kind
B1
Abstract

A matching computer system for electronically generating, matching, and providing online user profiles, and determining a sharing score between the online user profiles is provided. The matching computer system may be configured to generate online user profiles associated with users of the systems. The matching computer system may be also configured to calculate a base score based upon the generated online user profile. Each base score represents a level of trustworthiness of each respective user. The matching computer system may be further configured to determine a sharing score between users based upon the base scores. Each sharing score represents a level of matching between the online user profiles.

Claims (70)

1. A matching computer system for determining a sharing score between online user profiles, the matching computer system including at least one processor in communication with at least one memory device, wherein the at least one processor is configured to:

generate a first online user profile associated with a first user, wherein the first online user profile comprises first social media data of the first user and at least one of first insurance data, first third party data, first user data, and first sharing data associated with the first user;

generate a second online user profile associated with a second user, wherein the second online user profile comprises second social media data of the second user and at least one of second insurance data, second third party data, second user data, and second sharing data associated with the second user;

calculate a first base score associated with the first user based upon the first online user profile, wherein the first base score represents a first level of trustworthiness of the first user, and wherein the first level of trustworthiness is associated with a first driving history of the first user, a first level of maintenance of a first vehicle of the first user, and first social media activity of the first user;

calculate a second base score associated with the second user based upon the second online user profile, wherein the second base score represents a second level of trustworthiness of the second user, and wherein the second level of trustworthiness is associated with a second driving history of the second user, a second level of maintenance of a second vehicle of the second user, and second social media activity of the second user;

compare (i) the first base score to the second base score, and (ii) the first social media data in the first online user profile to the second social media data in the second online user profile and identifying similarities therein; and

determine the sharing score between the first and second users based upon the comparison, wherein the sharing score is a unique score between the first and second users and represents a level of matching between the first online user profile and the second online user profile.

2. The matching computer system of claim 1 , wherein the at least one processor is further configured to:

receive a first user-type associated with the first user and a second user-type associated with the second user;

calculate the first base score based upon the first user-type; and

calculate the second base score based upon the second user-type.

3. The matching computer system of claim 1 , wherein the at least one processor is further configured to:

generate a graphical user interface, wherein the graphical user interface is configured to:

display the first base score and the second base score; and

display the sharing score between the first user and the second user.

4. The matching computer system of claim 1 , wherein the first online user profile further comprises first telematics data associated with the first vehicle of the first user, and wherein the second online user profile comprises second telematics data associated with a second vehicle of the second user.

5. A matching computer system for determining a sharing score between online user profiles, the matching computer system including at least one processor in communication with at least one memory device, wherein the at least one processor is configured to:

receive a user-listing associated with a first user, wherein the user-listing includes a plurality of items offered for at least sale, rent, and lease, and wherein the first user is associated with a first user-type corresponding to an owner;

calculate an item base score for each of the plurality of items, wherein each item base score is calculated based upon a first online user profile associated with the first user, wherein the first online user profile comprises first social media data of the first user and a first user base score representing a first level of trustworthiness of the first user, and wherein the first level of trustworthiness is associated with a first driving history of the first user, a first level of maintenance of a first vehicle of the first user, and first social media activity of the first user;

calculate a second user base score based upon a second online user profile associated with a second user, wherein the second user is associated with a second user-type corresponding to a renter, the second online user profile comprising second social media data of the second user and the second user base score representing a second level of trustworthiness of the second user, and wherein the second level of trustworthiness is associated with a second driving history of the second user, a second level of maintenance of a second vehicle of the second user, and second social media activity of the second user; and

determine an item sharing score between each of the plurality of items and the second user, wherein each item sharing score is determined by comparing (i) each respective item base score to the second user base score, and (ii) the first social media data in the first online user profile to the second social media data in the second online user profile and identifying similarities therein, and wherein each item sharing score is a unique score between the second user and each of the plurality of items and represents a level of matching between each item and the second online user profile.

6. The matching computer system of claim 5 , wherein the user-listing includes listing availability dates and listing rates associated with the listing availability dates.

7. The matching computer system of claim 6 , wherein the at least one processor is further configured to:

generate a graphical user interface, wherein the graphical user interface is configured to:

display the user-listing associated with the first user;

receive a first selection input from the second user, the first selection input indicating at least one selected item from the user-listing; and

display, in response to receiving the first selection input, the item sharing score between the at least one selected item and the second user.

8. The matching computer system of claim 7 , wherein the at least one processor is further configured to:

generate a graphical user interface, wherein the graphical user interface is configured to:

display, in response to receiving the first selection input, at least one listing availability date and the associated listing rate;

receive a second selection input from the second user, the second selection input indicating an available date; and

concurrently display a location on a map of the at least one selected item and details associated with the at least one selected item.

9. The matching computer system of claim 5 , wherein the at least one processor is further configured to:

generate a graphical user interface, wherein the graphical user interface is configured to display the user-listing and each determined item sharing score between each of the plurality of items and the second user.

10. The matching computer system of claim 5 , wherein the plurality of items includes at least one of goods and services.

11. The matching computer system of claim 5 , wherein the first online user profile further comprises first telematics data associated with the first vehicle of the first user, and wherein the second online user profile comprises second telematics data associated with a second vehicle of the second user.

12. A computer-implemented method for determining a sharing score between online user profiles, the method implemented by a matching computer system including at least one processor, the method comprising:

generating a first online user profile associated with a first user, wherein the first online user profile comprises first social media data of the first user at least one of first insurance data, first third party data, first user data, and first sharing data associated with the first user;

generating a second online user profile associated with a second user, wherein the second online user profile comprises second social media data of the second user and at least one of second insurance data, second third party data, second user data, and second sharing data associated with the second user;

calculating a first base score associated with the first user based upon the first online user profile, wherein the first base score represents a first level of trustworthiness of the first user, and wherein the first level of trustworthiness is associated with a first driving history of the first user, a first level of maintenance of a first vehicle of the first user, and first social media activity of the first user;

calculating a second base score associated with the second user based upon the second online user profile, wherein the second base score represents a second level of trustworthiness of the second user, and wherein the second level of trustworthiness is associated with a second driving history of the second user, a second level of maintenance of a second vehicle of the second user, and second social media activity of the second user;

comparing (i) the first base score to the second base score, and (ii) the first social media data in the first online user profile to the second social media data in the second online user profile and identifying similarities therein; and

determining the sharing score between the first and second users based upon the comparison, wherein the sharing score is a unique score between the first and second users and represents a level of matching between the first online user profile and the second online user profile.

13. The computer-implemented method of claim 12 , wherein the method further comprises:

receiving a first user-type associated with the first user and a second user-type associated with the second user;

calculating the first base score based upon the first user-type; and

calculating the second base score based upon the second user-type.

14. The computer-implemented method of claim 12 , wherein the method further comprises:

generating a graphical user interface, wherein the graphical user interface is configured to:

display the first base score and the second base score; and

display the sharing score between the first user and the second user.

15. A computer-implemented method for determining a sharing score between online user profiles, the method implemented by a matching computer system including at least one processor, the method comprising:

receiving a user-listing associated with a first user, wherein the user-listing includes a plurality of items offered for at least sale, rent, and lease, and wherein the first user is associated with a first user-type corresponding to an owner;

calculating an item base score for each of the plurality of items, wherein each item base score is calculated based upon a first online user profile associated with the first user, wherein the first online user profile comprises first social media data of the first user and a first user base score representing a first level of trustworthiness of the first user, and wherein the first level of trustworthiness is associated with a first driving history of the first user, a first level of maintenance of a first vehicle of the first user, and first social media activity of the first user;

calculating a second user base score based upon a second online user profile associated with a second user, wherein the second user is associated with a second user-type corresponding to a renter, the second online user profile comprising second social media data of the second user and the second user base score representing a second level of trustworthiness of the second user, and wherein the second level of trustworthiness is associated with a second driving history of the second user, a second level of maintenance of a second vehicle of the second user, and second social media activity of the second user; and

determining an item sharing score between each of the plurality of items and the second user, wherein each item sharing score is determined by comparing (i) each respective item base score to the second user base score, and (ii) the first social media data in the first online user profile to the second social media data in the second online user profile and identifying similarities therein, and wherein each item sharing score is a unique score between the second user and each of the plurality of items and represents a level of matching between each item and the second online user profile.

16. The computer-implemented method of claim 15 , wherein the user-listing includes listing availability dates and listing rates associated with the listing availability dates.

17. The computer-implemented method of claim 16 , wherein the method further comprises:

generating a graphical user interface, wherein the graphical user interface is configured to:

display the user-listing associated with the first user;

receive a first selection input from the second user, the first selection input indicating at least one selected item from the user-listing; and

display, in response to receiving the first selection input, the item sharing score between the at least one selected item and the second user.

18. The computer-implemented method of claim 17 , wherein the method further comprises:

generating a graphical user interface, wherein the graphical user interface is configured to:

display, in response to receiving the first selection input, at least one listing availability date and the associated listing rate;

receive a second selection input from the second user, the second selection input indicating an available date; and

concurrently display a location on a map of the at least one selected item and details associated with the at least one selected item.

19. The computer-implemented method of claim 15 , wherein the method further comprises:

generating a graphical user interface, wherein the graphical user interface is configured to display the user-listing and each determined item sharing score between each of the plurality of items and the second user.

20. The computer-implemented method of claim 15 , wherein the plurality of items includes at least one of goods and services.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 27, 2019
From: BRANNAN, JOSEPH ROBERT; HARVEY, BRIAN N.; GROSS, RYAN MICHAEL; WILSON, J. LYNN; RILEY, MATTHEW ERIC, SR.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 049613/0241 →
Continuity (2)
Provisional Application 62804661 · Feb 12, 2019
Provisional Application 62835272 · Apr 17, 2019
Cited By (1)
US 12,189,585