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US 2023/0418865 A1Published application
Dynamic determination of video correlation
AssigneeTubular Labs, Inc.
InventorsDmytro Popovych, Michael Kamprath, Andrew Huson
Life of this patent
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Abstract
Dynamic determination of video correlation is disclosed, including: obtaining a plurality of recorded video interactions; obtaining a plurality of recorded non-video interactions; storing, at a database, event data determined based at least in part on the plurality of recorded video interactions and the plurality of recorded non-video interactions; and determining a subset of the event data that comprises correlations between a video and non-video interactions.
Claims21
A system, comprising:
- a processor configured to:
- obtain a plurality of recorded video interactions;
- obtain a plurality of recorded non-video interactions;
- store, at a database, event data determined based at least in part on the plurality of recorded video interactions and the plurality of recorded non-video interactions, wherein the database comprises a plurality of storage nodes;
- and
- determine a subset of the event data that comprises correlations between a video and non-video interactions, wherein to determine the subset of the event data that comprises correlations between the video and the non-video interactions comprises to:
- receive a request to determine correlation values between a given set of videos and non-video category identifiers (IDs);
- search the database for a set of video event data that describes a set of panelist IDs' interactions with the given set of videos, wherein data entries pertaining to a same panelist ID are stored contiguously on a single storage node from the plurality of storage nodes;
- search the database for a set of non-video event data that describes the set of panelist IDs' interactions with the non-video category IDs;
- for a non-video category ID included in the set of non-video event data, determine an overlap value comprising a number of distinct panelist IDs that have interacted with the given set of videos and have performed interactions associated with the non-video category ID within an attribution window;
- determine a respective correlation value between the given set of videos and the non-video category ID based at least in part on the overlap value;
- output, at a user interface, the non-video category ID in a ranked list of at least a portion of the non-video category IDs based on the respective correlation value between the given set of videos and the non-video category ID;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
11 more elements
(canceled)
(canceled)
A method, comprising:
- obtaining a plurality of recorded video interactions;
- obtaining a plurality of recorded non-video interactions;
- storing, at a database, event data determined based at least in part on the plurality of recorded video interactions and the plurality of recorded non-video interactions, wherein the database comprises a plurality of storage nodes;
- and
- determining a subset of the event data that comprises correlations between a video and non-video interactions, wherein determining the subset of the event data that comprises correlations between the video and the non-video interactions comprises:
- receiving a request to determine correlation values between a given set of videos and non-video category identifiers (IDs);
- searching the database for a set of video event data that describes a set of panelist IDs' interactions with the given set of videos, wherein data entries pertaining to a same panelist ID are stored contiguously on a single storage node from the plurality of storage nodes;
- searching the database for a set of non-video event data that describes the set of panelist IDs' interactions with the non-video category IDs;
- for a non-video category ID included in the set of non-video event data, determining an overlap value comprising a number of distinct panelist IDs that have interacted with the given set of videos and have performed interactions associated with the non-video category ID within an attribution window;
- determining a respective correlation value between the given set of videos and the non-video category ID based at least in part on the overlap value;
- outputting, at a user interface, the non-video category ID in a ranked list of at least a portion of the non-video category IDs based on the respective correlation value between the given set of videos and the non-video category ID.
8 more elements
(canceled)
A computer program product, the computer program product being embodied in a non-transitory comprising computer readable storage medium and comprising computer instructions for:
- obtaining a plurality of recorded video interactions;
- obtaining a plurality of recorded non-video interactions;
- storing, at a database, event data determined based at least in part on the plurality of recorded video interactions and the plurality of recorded non-video interactions, wherein the database comprises a plurality of storage nodes;
- and
- determining a subset of the event data that comprises correlations between a video and non-video interactions, wherein determining the subset of the event data that comprises correlations between the video and the non-video interactions comprises:
- receiving a request to determine correlation values between a given set of videos and non-video category identifiers (IDs);
- searching the database for a set of video event data that describes a set of panelist IDs' interactions with the given set of videos, wherein data entries pertaining to a same panelist ID are stored contiguously on a single storage node from the plurality of storage nodes;
- searching the database for a set of non-video event data that describes the set of panelist IDs' interactions with the non-video category IDs;
- for a non-video category ID included in the set of non-video event data, determining an overlap value comprising a number of distinct panelist IDs that have interacted with the given set of videos and have performed interactions associated with the non-video category ID within an attribution window;
- determining a respective correlation value between the given set of videos and the non-video category ID based at least in part on the overlap value;
- outputting, at a user interface, the non-video category ID in a ranked list of at least a portion of the non-video category IDs based on the respective correlation value between the given set of videos and the non-video category ID.
8 more elements
A system, comprising:
- a processor configured to:
- obtain a plurality of recorded video interactions;
- obtain a plurality of recorded non-video interactions;
- store, at a database, event data determined based at least in part on the plurality of recorded video interactions and the plurality of recorded non-video interactions, wherein the database comprises a plurality of storage nodes, wherein the non-video interactions comprise product interactions;
- and
- determine a subset of the event data that comprises correlations between a video and non-video interactions, wherein to determine the subset of the event data that comprises correlations between the video and the non-video interactions comprises to:
- receive a request to determine correlation values between a given set of products and video category identifiers (IDs);
- search the database for a set of product event data that describes a set of panelist IDs' interactions with the given set of products;
- search the database for a set of video event data that describes the set of panelist IDs' interactions with the video category IDs;
- for a video category ID included in the set of product event data, determine an overlap value comprising a number of distinct panelist IDs that have interacted with the given set of products and have performed video interactions associated with the video category ID within an attribution window;
- determine a respective correlation value between the given set of products and the video category ID based at least in part on the overlap value;
- and
- output, at a user interface, the video category ID in a ranked list of at least a portion of the video category IDs based on the respective correlation value between the given set of products and the video category ID;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
12 more elements
Dependencies are inferred from the claim text.