State Farm Mutual Automobile Insurance had three patents in social media during Q1 2024. State Farm Mutual Automobile Insurance Co has developed a matching computer system that generates online user profiles, calculates trust scores based on social media and insurance data, and determines the trustworthiness of users. The system registers users, collects social media and insurance data, and calculates trust scores for each user. GlobalData’s report on State Farm Mutual Automobile Insurance gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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State Farm Mutual Automobile Insurance grant share with social media as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for electronically matching online user profiles (Patent ID: US20240029170A1)
The patent filed by State Farm Mutual Automobile Insurance Co. describes a matching computer system that generates and matches online user profiles to determine a trust score based on social media data and insurance data. The system collects, stores, and retrieves social media and insurance data for each user, applies a scoring algorithm to determine trustworthiness, and updates the algorithm based on feedback data from user devices. The trust score reflects the level of trustworthiness of each user, with additional features such as capturing telematics data and registering users as consumers or providers for renting items.
The matching computer system's processor collects social media and insurance data, applies a scoring algorithm, and determines trust scores based on user data. The system can receive consent from users to capture social media data, utilize feedback data for algorithm refinement, and incorporate telematics data for trust score calculation. Additionally, the system registers users as consumers or providers, determines social media scores, and combines them with insurance data to calculate trust scores. This innovative system offers a comprehensive approach to assessing user trustworthiness based on a variety of data sources and user interactions.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
