Dynamic Video Correlation Determination via Panelist IDs
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Solution Overview
Problem
Existing methods face challenges in efficiently calculating correlations between online video and non-video interactions, particularly in determining correlations between video and non-video activities in a manner that is both efficient and privacy-respecting.
Innovation Solution
A system and process for dynamic video correlation determination, which involves obtaining and storing recorded user online activity data, identifying video and non-video interactions, and computing correlations by analyzing panelist IDs and attribution time windows, using a distributed database to efficiently compute and store cardinality values and statistical counting data structures for real-time correlation calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to calculate correlations between web activities, then privacy protection is maintained, but calculation efficiency deteriorates
Solution Approach 1:
The patent extracts only the necessary identifying information (panelist IDs) from user data while removing or anonymizing personally identifiable information. This allows correlation calculations to be performed on extracted identifiers without processing sensitive user data, thereby maintaining privacy protection while enabling efficient correlation analysis.
Solution Approach 2:
The patent introduces panelist IDs as intermediary identifiers that mediate between user identity and correlation analysis. These IDs serve as a bridge that allows efficient calculation of correlations between web activities and video interactions without directly exposing or processing sensitive user information, thus resolving the contradiction between calculation efficiency and privacy protection.
2Measurement precision
If detailed user activity data is analyzed, then correlation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the correlation calculation process into distinct components: identifying panelist IDs from web activities, identifying video interactions, and calculating correlations between these segmented elements. This segmentation allows for focused processing of specific data types and reduces overall computational complexity while maintaining correlation accuracy.
Solution Approach 2:
The patent performs preliminary actions by pre-identifying and storing panelist IDs associated with web activities and video interactions before conducting correlation calculations. This preliminary processing organizes data in advance, reducing the computational burden during actual correlation analysis and decreasing device complexity while preserving measurement precision.
Data Source
AI summary
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.