Salesforce had seven patents in social media during Q2 2024. Salesforce Inc’s patents filed in Q2 2024 focus on techniques for generating user profile data within a communication platform, including frequent channels, related users, and topics based on user interaction data. Another patent discusses generating shared workspaces for communication between users of different organizations, allowing for the discovery of users from various organizations based on specific criteria set by the workspace creator and administrators. GlobalData’s report on Salesforce gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Salesforce had no grants in social media as a theme in Q2 2024.
Recent Patents
Application: Channel recommendations using machine learning (Patent ID: US20240179193A1)
The patent filed by Salesforce Inc. discusses techniques for generating user profile data within a communication platform using a machine-learning model that analyzes user interaction data to identify frequent channels, related users, and topics. This data is then associated with the user's profile and presented on a profile page based on the viewing user's interaction actions. The machine-learning model is trained on prior interaction data and representative channels/users to learn relationships and generate the data. Interaction data includes reactions, links, replies, views, and attachments. The system also allows users to modify their profile data by selecting representative channels or users, which are then used to generate new lists based on the input and interaction data.
The system described in the patent involves a method and a system for processing interaction data within a group-based communication platform to generate representative channels and users associated with a user account. The machine-learning model plays a crucial role in analyzing the data and generating relevant information for user profiles. The patent also covers scenarios where additional representative channels and users are generated based on specific events or requests from users. Overall, the system aims to enhance user profiles by providing personalized and relevant information based on interactions within the communication platform, ultimately improving user engagement and experience.
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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.
