ADOBE had ten patents in big data during Q1 2024. ADOBE Inc’s patents filed in Q1 2024 include a search system using arrival times and confidence scores as search facets, systems for generating object-specific-preset edits for digital images, methods for mesh generation based on body visibility features, and systems for verifying causal graphs using nodes from corresponding Markov equivalence classes. GlobalData’s report on ADOBE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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ADOBE grant share with big data as a theme is 60% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Delivery-related search and analytics (Patent ID: US20240095800A1)
The patent filed by ADOBE Inc. describes a search system that utilizes arrival times and associated confidence scores as search facets to identify items. The system first identifies a plurality of items based on search input, then determines an arrival time and confidence score for each item, and finally provides search results based on these arrival times and confidence scores. The system can also receive user-specified arrival times, sort items based on arrival times, and consider environmental and delivery costs in determining arrival times and confidence scores for items.
The patent claims cover computer storage media storing instructions for performing operations related to identifying items, determining arrival times and confidence scores, and providing search results based on these factors. The claims also include methods for user interaction, such as specifying arrival times, sorting search results, and displaying arrival time and confidence information. Additionally, the patent describes a computer system that receives search input, identifies items, determines arrival times and environmental scores, and provides a subset of items based on these factors, with options for specifying arrival times, environmental scores, and ordering search results accordingly. The system also considers confidence scores in ordering the subset of items.
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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.
