Toronto-Dominion Bank has been granted a patent for a processor-implemented method that involves obtaining identifying information for tradeable objects, analyzing video data from media sources, and selecting videos based on content similarity for client devices. GlobalData’s report on Toronto-Dominion Bank 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 Toronto-Dominion Bank, Blockchain-based gaming platforms was a key innovation area identified from patents. Toronto-Dominion Bank's grant share as of January 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Method for identifying videos based on tradeable objects
A recently granted patent (Publication Number: US11886501B2) discloses a computing system designed to enhance the selection and delivery of videos to users based on their tradeable objects. The system includes a processor, a communications module, and memory storing instructions for obtaining identifying information for tradeable objects associated with an entity, receiving video data from media sources with content indicator tags, and selecting videos for inclusion based on textual comparisons with the tradeable object identifiers. The system can send a subset of videos to a client device, improving personalized content delivery.
Furthermore, the patent details a method for identifying subsets of videos based on textual comparisons and relevance scores, allowing for the prioritization and personalized ranking of videos for display on client devices. The system can detect changes in tradeable objects, adjust video selections accordingly, and even consider resource allocation profiles to filter videos based on entity preferences. By determining relevance scores and utilizing priority indices, the system ensures that users receive tailored video content aligned with their tradeable objects, enhancing the overall viewing experience and engagement with the platform.
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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.
