Box had nine patents in digitalization during Q4 2023. Box Inc’s patents filed in Q4 2023 focus on collaboration recommendations, cloud-based shared content management, and performance analytics for shared content systems. The collaboration recommendations utilize time-decayed event values to score user-to-object interactions and emit collaboration recommendations. The cloud-based shared content management system allows for efficient sharing and synchronization of content between multiple users, with peer-to-peer connections and conflict resolution mechanisms. The performance analytics patent involves recording interaction events over shared content objects, calculating relationships between these events, and generating project performance measurements spanning across different applications, departments, and enterprises. GlobalData’s report on Box gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Box grant share with digitalization as a theme is 66% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Forming event-based recommendations (Patent ID: US20230401537A1)
The patent filed by Box Inc. describes systems and methods for forming collaboration recommendations using time-decayed event values in a shared content management system. Users interact with content objects generating event objects, which are used to score user-to-object interactions based on importance values that decay over time. Collaboration recommendations are emitted based on these decayed scores. The method involves identifying users, receiving event objects, generating collaboration recommendations, and applying time-decayed values to interaction scores.
The patent also includes claims for a method, computer program product, and system for forming event-based collaboration recommendations. These claims detail steps such as generating separate time-decayed values for different user-to-object interactions, updating collaboration recommendations based on time-decayed values, quantifying user-to-object interactions, determining affinity between content objects, and updating relationships based on time-decayed values. The system includes a processor and memory storing programming code to perform acts related to identifying users, receiving event objects, generating collaboration recommendations, and applying time-decayed values to interaction scores.
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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.
