ADOBE had four patents in social media during Q1 2024. ADOBE Inc’s patents filed in Q1 2024 focus on distributing digital content using trend setting participants, utilizing machine learning models to prevent disclosure of sensitive data, and recommending hashtags based on semantic similarity. These technologies aim to enhance content distribution, privacy protection, and hashtag recommendations across digital platforms. 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 social media as a theme is 25% 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 determines predicted demand metrics for these items on digital platforms. Using these metrics, the system distributes digital content related to the items for display on client devices via the platforms. The system also determines visual similarity between items featured in digital posts and digital items in the catalog to enhance the distribution process.

Furthermore, the system determines trend-setting scores for participants on digital platforms based on their activities and identifies trend-setting participants. It then distributes digital content based on predicted demand metrics, ensuring that items with higher predicted demand are prioritized for display. The system also considers color palettes portrayed in digital posts and items to optimize content distribution. Additionally, the system uses behavioral metrics to identify trend-setting participants and distribute digital content accordingly, ensuring effective distribution across platforms based on participant activities and trends.

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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.