ADOBE had 75 patents in digitalization during Q1 2024. ADOBE Inc’s patents filed in Q1 2024 focus on distributing digital content using trend setting participants, generating causal-based models for event attribution, query processing using masked and causal language models, and image exploration through representative set arrangement. GlobalData’s report on ADOBE gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ADOBE grant share with digitalization as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Utilizing trend setter behavior to predict item demand and distribute related digital content across digital platforms (Patent ID: US20240104619A1)

The patent filed by ADOBE Inc. describes a system, method, and computer-readable media for distributing digital content across various platforms using trend-setting participants. The system generates affinity metrics for digital items based on attributes of digital posts by trend-setting participants and corresponding attributes of the digital items. Predicted demand metrics are then determined for the digital items on different platforms using these affinity metrics, and digital content related to the items is distributed for display on client devices via the platforms based on the predicted demand metrics.

The patent further details instructions for generating affinity metrics, determining visual similarity between items featured in digital posts and digital items, identifying trend-setting participants, and distributing digital content based on predicted demand metrics. The system also involves determining color palettes, trend-setting scores, and behavioral metrics to optimize the distribution of digital content. By leveraging the influence of trend-setting participants and analyzing their activities on digital platforms, the system aims to enhance the visibility and demand for digital items across various platforms, ultimately improving the overall distribution strategy.

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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.