Dropbox had 11 patents in artificial intelligence during Q1 2024. Dropbox Inc’s patents filed in Q1 2024 focus on innovative features such as gesture-based input for generating filtering rules for incoming messages, selective synchronization of digital content items based on recall data, a browser extension for efficient downloading of objects from webpages, a content management system for collecting files from authenticated submitters, and generating content collections for user accounts using textual and visual signals. GlobalData’s report on Dropbox gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Dropbox grant share with artificial intelligence as a theme is 27% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Activation of dynamic filter generation for message management systems through gesture-based input (Patent ID: US20240089338A1)

The patent filed by Dropbox Inc. describes a method for generating filtering rules for incoming messages through gesture-based input. Users can activate rule generation by performing a swipe and hold gesture associated with actions like archiving, deleting, deferring, or adding messages to a list. The system then prompts the user for additional data to create the filtering rule. The method involves analyzing event records to detect correlations between content item features and user actions, generating correlation metrics based on this analysis, and suggesting processing new content items based on these correlations. The system can identify user actions, corresponding features, and generate event records based on these actions and features.

Furthermore, the method includes totaling consecutive occurrences of a content item resulting in the same user action, detecting correlations using machine learning models, and displaying new content items with prompts based on identified features and actions. The system can also generate suggestion metadata defining rules for automatically performing actions on new content items and add this metadata to the content item. The patent covers a computer-implemented method, a non-transitory computer-readable medium with instructions for the method, and a system with processors and memory for performing the method operations. Overall, the patent outlines a comprehensive approach to generating filtering rules based on user actions and content item features, enhancing message management services through gesture-based inputs and correlation analysis.

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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.