Box had four patents in future of work during Q4 2023. Box Inc’s patents filed in Q4 2023 focus on systems and methods for forming collaboration recommendations and providing performance analytics for shared content management systems. The recommendations are based on time-decayed event values and user-to-object interaction activities, with importance values applied as weights that decay over time. The performance analytics involve 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 future of work as a theme is 50% 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 related to generating separate time-decayed values for different user-to-object interactions, updating collaboration recommendations based on time-decayed values, quantifying user-to-object interactions, generating relationships between users based on affinity for content objects, and updating these relationships over time. The system described in the patent 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. The system also involves determining affinity between content objects, users accessing these objects, and generating relationships based on this affinity in a data structure.
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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.
