OTT Audience Measurement With Cross-Source Demographic Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Over-the-top (OTT) devices provide inaccurate demographic information for audience measurements due to incomplete or misattributed user demographics, leading to errors in associating impressions with the correct demographic groups, which reduces the accuracy of audience metrics.
Innovation Solution
A method and apparatus that leverage demographic information from both OTT devices and database proprietors, such as social networking sites and media service providers, to match and correct user demographics, predict missing demographics, and assign viewership accurately, using machine learning algorithms to improve the accuracy of demographic impressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If demographic information is collected from OTT devices, then audience measurement coverage is improved, but measurement precision deteriorates due to incomplete or misattributed user demographics
Solution Approach 1:
The patent introduces database proprietors (intermediaries) that possess accurate demographic information to mediate between OTT devices and the audience measurement system. These intermediaries provide corrected demographic data that resolves the inaccuracies inherent in direct OTT device collection, thereby maintaining both broad coverage and high precision simultaneously.
Solution Approach 2:
The system implements a feedback mechanism where demographic information from database proprietors is used to correct and refine the demographic data collected from OTT devices. This continuous feedback loop ensures that measurement precision is maintained or improved while preserving the extensive coverage provided by OTT device collection.
2Measurement precision
If demographic data from multiple sources is integrated, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the demographic data collection and processing system into distinct functional components: OTT devices for broad data collection, database proprietors for accurate demographic verification, and a coordination layer for integrating these sources. This segmentation allows each component to specialize in its strength while reducing the overall complexity of integration.
Solution Approach 2:
The system design employs universal interfaces and standardized data exchange protocols that enable multiple data sources (OTT devices and various database proprietors) to be integrated through a common framework. This multi-functionality approach allows the same integration mechanism to handle different types of demographic data sources without increasing complexity proportionally.
Data Source
AI summary
Methods and apparatus to correct errors in measuring audiences of over-the-top media are disclosed. In some examples, the methods and apparatus identify a first set of data from a first data source, the first set of data different from a second set of data from a second data source. In some examples, the methods and apparatus generate a third set of data based on the second set of data from the second data source. In some examples, the methods and apparatus generate a model based on a difference between the first set of data and the third set of data. In some examples, the methods and apparatus apply the model to the first set. In some examples, the methods and apparatus assign viewership to an impression associated with the first set of data by imputing viewership associated with the second set of data to the first set of data.