SAP had two patents in social media during Q1 2024. SAP SE filed patents in Q1 2024 for methods related to social network message queries and human capital management. The first patent involves generating message query parameters, querying a semantic graph, determining message context, and presenting messages on a client computer. The second patent involves converting unstructured user data into structured data, combining it into a user profile, and recommending opportunities based on the profile. GlobalData’s report on SAP gives a 360-degree view of the company including its patenting strategy. Buy the report here.

SAP had no grants in social media as a theme in Q1 2024.

Recent Patents

Application: Message query service and message generation for a social network (Patent ID: US20240095105A1)

The patent filed by SAP SE describes a method for processing message queries from entities in a social network to provide relevant messages from a message repository. The method involves generating query parameters, querying a semantic graph of the social network, determining message context, and selecting messages based on relevance scores and feasibility. The messages are then presented on a client computer associated with the entity identifier. The system also includes provisions for receiving entity feedback, generating new messages, and recommending changes based on historical performance.

The method outlined in the patent claims involves receiving message queries from entity identifiers in a social network, generating query parameters, querying a semantic graph, determining message context, and selecting messages from a repository for presentation on a client computer. Additional features include extracting entities, constraints, and requirements from the queries, adjusting relevance scores based on performance parameters and entity feedback, and recommending changes to new messages based on historical data. The system is designed to enhance message relevance and user engagement within a social network environment, utilizing machine learning models and semantic segmentation networks to optimize message selection and presentation.

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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.