Block had eight patents in social media during Q1 2024. Block Inc has developed an adaptive collaboration platform that generates collaboration recommendations for artists by processing artist data and recommending potential collaborators. They have also created a system for dynamically generating electronic representations for user profiles based on interaction data, without requiring input from the user. GlobalData’s report on Block gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Block grant share with social media as a theme is 37% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Adaptive collaboration recommendation platform (Patent ID: US20240086480A1)
Block Inc. has filed a patent for an adaptive collaboration platform that generates collaboration recommendations for artists based on artist data and contextual attributes. The platform utilizes machine learning models trained on historical collaboration matches to recommend suitable collaborators to artists, optimizing for specific collaboration objectives such as audience growth or engagement. The system filters artists in an artist population based on relevancy scores derived from contextual attributes, including audience data, to generate collaboration recommendations that are exposed to artists via a user interface. Additionally, the platform enables the formation of communication channels between artists and collaborators based on communication behavior, allowing artists to initiate communications with collaborators.
The patent outlines a computer-implemented method that involves processing artist data for a population of artists registered with the collaboration system to generate collaboration recommendations based on specific collaboration objectives. The system utilizes machine learning models trained on historical collaboration matches to filter and expose collaboration matches to artists, optimizing for audience growth or engagement. Collaboration matches are generated based on contextual attributes and collaboration match scores, with recommendations tailored to individual artists. The platform also allows for the registration of artists with the system, verifying their identity and providing personalized collaboration recommendations based on registration data. Overall, the patent describes a comprehensive system that leverages machine learning and contextual attributes to facilitate collaborations between artists, ultimately enhancing audience reach and engagement.
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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.
