Recorded Future has patented a wide area network fact information service method involving storing canonical fact entries, fact descriptor entries, and ranking them to make predictions. The method uses feedback to adjust rankings and predict future events. GlobalData’s report on Recorded Future gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Recorded Future, User behaviour analysis was a key innovation area identified from patents. Recorded Future's grant share as of May 2024 was 20%. Grant share is based on the ratio of number of grants to total number of patents.
Predicting future events based on stored fact descriptor entries
A recently granted patent (Publication Number: US12001439B2) outlines a method and system for a wide area network fact information service. The method involves electronically storing machine-readable canonical fact entries and corresponding occurrence timepoints, along with fact descriptor entries, ranking these entries relative to each other, receiving feedback to adjust the ranking, and making predictions about future events based on the adjusted ranking. The ranking process can be continuous, iterative, or parallel, and is influenced by factors such as entity ranking, source credibility, proximity measures, similarity measures, and publication times. The system includes a processor, non-transitory storage, and components for storing, ranking, and predicting based on the stored data.
The system and method described in the patent offer a sophisticated approach to managing and analyzing factual information on a wide area network. By storing canonical fact entries and descriptor entries, ranking them based on various criteria, and adjusting the ranking with feedback, the system can make predictions about future events. The use of factors like entity ranking, source credibility, proximity measures, and similarity measures enhances the accuracy and relevance of the predictions made by the system. Overall, this patent introduces a comprehensive framework for organizing and utilizing factual data in a networked environment, with potential applications in various fields requiring predictive analytics and information management.
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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.
