Palantir Technologies had three patents in social media during Q4 2023. Palantir Technologies Inc’s patents filed in Q4 2023 focus on systems and methods for attributing data to an entity by using disparate data sets obtained from various sources. The disclosed technology involves obtaining data sets, creating trajectories to represent data records associated with an entity, and using these trajectories to associate data stored across different data sets. Additionally, the patents cover obtaining information from computing systems to identify accounts accessed from devices sharing a network-based address, and associating these accounts with the address. GlobalData’s report on Palantir Technologies gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Palantir Technologies grant share with social media as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Entity data attribution using disparate data sets (Patent ID: US20230394051A1)
The patent filed by Palantir Technologies Inc. discloses systems and methods for attributing data to entities using disparate data sets. The systems and methods involve obtaining multiple data sets, determining trajectories representing data records associated with an entity, and using these trajectories to associate data stored across different data sets based on their agreement. This association of data records can further be used to link entities related to the associated data records.
The method and system described in the patent involve receiving a set of records associated with an entity, determining trajectories based on these records, identifying matching records in a data repository that indicate the behavior associated with the entity, and attributing these matching records to the entity. The process includes considerations such as the number of matching records exceeding a threshold value, assigning identifiers to the records, accessing object models, and transforming records based on these models. Additionally, comparisons of uniqueness metrics are used to identify and associate the data records effectively. Overall, the patent focuses on leveraging trajectories from disparate data sets to accurately attribute data to entities, enhancing data association and entity linkage processes.
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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.
