Palantir Technologies Inc.

Ashwin Sreenivas

Lucas Lemanowicz

Tinlok Pang

Yehonatan Steinmetz

Daniel Spangenberger

Matthew Elkherj

Gary Lin

Andrew Pettit

Joules Nahas

Natasha Armbrust

Tomer Kremerman

Adam Schexnayder

Systems and methods are described for determining and displaying optimal associations of data items. Data items may include media content such as television programs, and may be associated with advertisements to be displayed during content consumption. A tool may process data regarding segments of viewers that have common characteristics, and further process data regarding viewers of particular data items, to identify degrees of association between individual segments of viewers and particular data items. The degrees of association between a particular data item and multiple segments of viewers, or between multiple data items and a particular segment of viewers, may be displayed in a user interface that identifies optimal associations between data items and advertisements based on the viewer segments having high degrees of association with the data item.

Systems and methods for determining and displaying optimal associations of data items

Systems and methods are disclosed for systems and user interfaces for rapid analysis of viewership information. One of the methods includes accessing databases storing viewership information associated with segments, with each segment being associated with common features of viewers. Measures of association between the segment and content items are maintained for each segment. An interactive user interface is presented via a user device, the interactive user interface enabling creation of a customized viewing audience. The interactive user interface receives user input indicating a segment, identifies similar segments based on associations between features of the segment and of other segments, and presents the identified segments. Analysis information associated with the segments is presented for at least one of the one or more segments, with the segments being included in the customized viewing audience.

System and user interfaces for rapid analysis of viewership information

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New York, NY, United States of America

Ashwin Sreenivas