US 11,776,062 B1
Systems and methods for electronically matching online user profiles
Joseph Robert Brannan, Bloomington, IL (US); Brian N. Harvey, Bloomington, IL (US); Ryan Michael Gross, Normal, IL (US); J. Lynn Wilson, Normal, IL (US); and Matthew Eric Riley, Sr., Heyworth, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by State Farm Mutual Automobile Insurance Company, Bloomington, IL (US)
Filed on May 13, 2021, as Appl. No. 17/319,952.
Application 17/319,952 is a continuation of application No. 16/454,822, filed on Jun. 27, 2019, granted, now 11,030,701.
Claims priority of provisional application 62/835,272, filed on Apr. 17, 2019.
Claims priority of provisional application 62/804,661, filed on Feb. 12, 2019.
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 40/08 (2012.01); G06Q 50/00 (2012.01); G06Q 30/0645 (2023.01); G06F 16/9535 (2019.01)
CPC G06Q 40/08 (2013.01) [G06F 16/9535 (2019.01); G06Q 30/0645 (2013.01); G06Q 50/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A matching computer system for determining a trust score for a user based upon at least social media data and insurance data, 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, from one or more user computing devices associated with one or more users, consent from the one or more users to capture the social media data associated with social media activities of each user of the one or more users;
collect the social media data and the insurance data for each user, wherein the social media data is collected from at least one social media server and the insurance data is collected from at least one insurance provider server;
store, within the at least one memory device, the social media data and the insurance data;
retrieve, from the at least one memory device, the social media data and the insurance data associated with each user;
apply a scoring algorithm to the social media data and the insurance data associated with each user, wherein the scoring algorithm is automatically updated and refined, by the matching computer system, by utilizing feedback data received from the one or more user computing devices associated with the one or more users, the feedback data including user-satisfaction data associated with at least one user of the one or more users and relating to at least one previous transaction involving the at least one user, the at least one previous transaction including an exchange of a good or service with the at least one user; and
determine a trust score for each user based, at least in part, upon the application of the scoring algorithm to the social media data and the insurance data associated with each user, wherein the trust score represents a level of trustworthiness of the user.