Fujitsu had two patents in social media during Q4 2023. Fujitsu Ltd filed patents in Q4 2023 for methods involving bipartite graph modeling and quadratic programming to determine cluster descriptor sets for pre-sorted items based on tags, as well as for quantizing vectors into quantum states to find feasible solutions for optimization problems. GlobalData’s report on Fujitsu gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Fujitsu grant share with social media as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Analysis of clustered data (Patent ID: US20230376569A1)

The patent filed by Fujitsu Ltd. describes a method that involves obtaining a set of tags and items pre-sorted into clusters, creating a bipartite graph with tags and clusters as nodes, modeling the graph as a quadratic programming formulation, determining cluster descriptor sets based on solving the formulation, and analyzing items using these sets. The quadratic programming formulation includes weights for metrics like tag redundancy, node coverage, tag balance, and tag locality, indicating the contribution of tags to explaining how clusters were pre-sorted.

The method utilizes a digital annealer to solve the quadratic programming formulation and can be applied to various scenarios such as social media platforms with hashtags and user accounts, images with labels, or gene characteristics and sequences. The patent also covers computer-readable storage media storing instructions for executing the method and a system with processors and storage media to perform the operations described, emphasizing the importance of cluster descriptor sets in analyzing pre-sorted clusters of items based on tags.

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