Microsoft had 27 patents in social media during Q2 2024. Microsoft Corp’s patents in Q2 2024 focus on various technologies such as analyzing digital content from social networking systems to generate searchable graphs, notifying friends in a social game when a player is stuck, transferring call context between call center systems, measuring probability of influence in digital communications, and displaying email messages based on recipient actions and connections. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft had no grants in social media as a theme in Q2 2024.
Recent Patents
Application: Generating and presenting a searchable graph based on a graph query (Patent ID: US20240176798A1)
The patent filed by Microsoft Corp. describes a system and method for analyzing digital content items from social networking platforms to create a searchable graph object that visualizes correlations between entities of interest, concepts, hashtags, and other output classes. The system involves collecting publicly available images and videos, evaluating their content and metadata to identify entities and predict concepts, and generating a graph object for visualization. Users can process graph queries to view relational graphs showing correlations between the query and various output classes. The system also allows for the inclusion of domain-specific concepts and provides a mechanism for local execution of graph queries.
The method and system outlined in the patent involve obtaining digital content items, applying an entity detection model to identify entities of interest, receiving concept identifiers for the content items, generating a correlation graph object with a searchable matrix, and presenting it via a graphical user interface based on a graph query. The presentation includes primary and secondary icons based on correlation values, and users can input domain concept identifiers for relevance. The system considers metadata like hashtags, timestamps, and geolocations for entity detection, and uses probability scores to estimate the presence of concepts in digital content items. Correlation values are determined based on co-occurrence frequency, with the option to set threshold values for correlation inclusion. Overall, the patent describes a comprehensive system for analyzing and visualizing correlations in digital content from social networking platforms.
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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.
