International Business Machines had 32 patents in social media during Q4 2023. IBM filed patents for optimizing social collaboration by identifying engaging content and providing recommendations, using machine learning to identify rare events, detecting peer pressure through social interactions, mapping user preferences in AR/VR spaces, and generating weather simulations based on significant events. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with social media as a theme is 71% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Information sharing with effective attention management system (Patent ID: US20230409831A1)
The patent filed by IBM Corp. describes a method, computer system, and computer program product for optimizing social collaboration. The invention involves identifying highly engaging content in social collaboration history, generating unique topic keywords from this content, receiving potential posts from users, identifying overlaps between the posts and the unique keywords, and providing recommendations to users. The system ranks content by topic, identifies keywords, and derives similar words using linguistic analysis techniques. Recommendations may include rephrasing posts to include relevant keywords, retrieving content based on similarity analysis, and displaying it to users along with sentiment analysis warnings.
The method, computer system, and computer program product aim to enhance social collaboration by leveraging historical data to identify engaging content and provide users with recommendations based on unique topic keywords. By analyzing content, deriving keywords, and offering suggestions for posts, the system helps users create more impactful and relevant contributions to social collaboration platforms. Additionally, the system retrieves and displays content from a knowledge corpus, ensuring users have access to relevant information while also being alerted to potential issues through sentiment analysis warnings. Overall, the invention seeks to optimize social collaboration by improving user engagement and content quality through data-driven recommendations and 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.
