Age Correction Model for Media Impressions
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Solution Overview
Problem
Existing audience measurement systems face inaccuracies in age attribution due to self-reported demographic information from users, leading to errors in media ratings and audience measurement, particularly affecting underrepresented age categories.
Innovation Solution
The development of an age correction model that uses detailed demographic information from panelist households and database proprietor activity data to assign accurate age categories and probability density functions, addressing underrepresentation by weighting audience member records and splitting them into terminal nodes based on attributes and thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If self-reported demographic information from users is used for age attribution, then data collection is simple and user-friendly, but measurement precision deteriorates due to inaccuracies and underrepresentation of certain age categories
Solution Approach 1:
The patent introduces an intermediary age correction model that mediates between self-reported demographic data and actual age categories. The model uses panelist household data and activity data as intermediaries to correct and refine the age attribution, thereby improving measurement precision while maintaining the simplicity of self-reported data collection.
Solution Approach 2:
The patent implements feedback mechanisms by using panelist household information and activity data to continuously correct and refine age attribution. The system feedbacks the accuracy of self-reported age data through comparison with panelist data, enabling iterative improvement of measurement precision without complicating the initial data collection process.
2Device complexity
If traditional server log monitoring is used, then system complexity is low, but measurement precision deteriorates due to inability to accurately categorize age demographics
Solution Approach 1:
The patent segments the audience measurement system into multiple functional components: data collection from servers, panelist household data integration, activity data processing, and age correction modeling. This segmentation allows the system to maintain relatively simple server log monitoring while adding sophisticated correction layers that improve age category classification accuracy.
Solution Approach 2:
The patent applies preliminary action by pre-processing and correcting age attribution data using panelist household information and activity data before final categorization. This preliminary correction action improves measurement precision without requiring complex real-time processing during media consumption, thus balancing system complexity with accuracy.
3Measurement precision
If underrepresented age categories are included in measurement, then representation accuracy improves, but data reliability deteriorates due to higher error rates in self-reported data from these categories
Solution Approach 1:
The patent applies local quality by tailoring the age correction approach specifically for underrepresented age categories. The model uses panelist household data and activity data to provide localized corrections for these categories, improving representation accuracy while maintaining data reliability through targeted correction rather than uniform treatment of all age groups.
Solution Approach 2:
The patent changes the parameters used for age attribution by introducing correction factors derived from panelist household data and activity data. These parameter changes enable the system to adjust age category assignments for underrepresented groups, improving representation while maintaining reliability through data-driven corrections rather than relying solely on self-reported data.
Data Source
AI summary
An example includes splitting audience member records into child nodes based on comparisons of first ones of attribute-value pairs of the audience member records to a first threshold, the attribute-value pairs representative of database subscriber activity data of corresponding audience members; in response to a quantity of ones of the audience member records in a first child node not satisfying the minimum leaf size, storing a terminal node value to indicate the first child node as a terminal node associated with one age category; in response to the quantity of the ones of the audience member records in the first child node satisfying the minimum leaf size, storing an intermediate node value to indicate the first child node as an intermediate node; and generating an age-correction model based on terminal nodes to facilitate correcting a database subscriber age characteristic associated with a media impression that is logged by a server.