Palantir Technologies has been granted a patent for systems and methods that determine and display optimal associations of data items, such as television programs and advertisements. The technology uses data on viewer segments and individual viewers to identify degrees of association between segments and data items. A user interface is provided to select characteristics associated with consumers and display the degree of association with content items. GlobalData’s report on Palantir Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Palantir Technologies, Social media analytics was a key innovation area identified from patents. Palantir Technologies's grant share as of September 2023 was 66%. Grant share is based on the ratio of number of grants to total number of patents.
Determining optimal associations between data items and advertisements
A recently granted patent (Publication Number: US11775154B2) describes a system and method for determining the association between consumers of media content and specific characteristics. The system includes a data store and a processor that executes computer-executable instructions to perform various operations.
The system accesses data that identifies segments of consumers of media content and data that identifies individual consumers who have consumed content from a specified source. Based on this information, the system determines the degree of association between individual content items and characteristics associated with consumers in a specific segment.
To facilitate user interaction, the system generates a user interface that allows the selection of one or more characteristics associated with consumers. This user interface also displays the degree of association between the selected characteristics and content items.
The patent also describes a computer-implemented method that follows a similar process. It involves obtaining data on segments of consumers and individual consumers, determining the degree of association between content items and characteristics associated with consumers in a specific segment, and displaying a user interface that enables the selection of characteristics and shows the degree of association with content items.
The user interface in the method allows the selection of various viewing time categories, such as "live," "live+same day," "live+3 days," or "live+7 days." It also includes an estimated size of consumer segments and information that enables mapping of individual consumers to corresponding portions of the data.
Additionally, the method determines the degree of association between individual timeslots and characteristics associated with consumers in a specific segment. The user interface enables the selection of timeslots and sources of content.
The patent also covers a non-transitory computer-readable medium that stores computer-executable instructions for performing the operations described above. The medium allows the determination of the association between content items and consumer characteristics and the display of a user interface for selecting characteristics and viewing the degree of association with content items.
Overall, this patent presents a system and method for analyzing consumer behavior and characteristics in relation to media content, providing valuable insights for content creators and marketers.
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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.
