Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information

Patent metadata

Field	Value
Publication number	US-12346920-B2
Application number	US-202418654531-A
Country	US
Kind code	B2
Filing date	May 3, 2024
Priority date	Dec 31, 2014
Publication date	Jul 1, 2025
Grant date	Jul 1, 2025

Abstract

Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information are disclosed. An example method includes estimating first and second ages of audience members based on demographic information; estimating a third age of an audience member who is not included in the audience members; applying a window function to the second ages to determine a distribution of ages based on the third age; multiplying window values by the first ages to determine corrected first age components; dividing a total of the corrected first age components by a sum of the window values to determine an estimated age of the audience member at a first time; and determining the corrected age of the audience member at a second time based on the estimated age of the audience member at the first time and a time difference between the first and second times.

First claim

What is claimed is:

1. An audience measurement system for correcting age-based misattribution errors, the audience measurement system comprising:
a processor; and
a non-transitory computer-readable storage medium, having stored thereon program instructions that, upon execution by the processor, cause performance of a set of operations comprising:
receiving, from a database proprietor, anonymized subscriber demographic data of a plurality of subscribers registered with the database proprietor, wherein the anonymized subscriber demographic data comprises corresponding age characteristics of the plurality of subscribers and is based on network communications received by the database proprietor from client devices of the plurality of subscribers;
storing, in a database, the anonymized subscriber demographic data;
receiving, from a client device, impression data after a media item is accessed on the client device, wherein the impression data comprises an impression request and a user identifier;
generating a demographic impression of a plurality of demographic impressions by attributing anonymized subscriber demographic data of a subscriber of the plurality of subscribers to the impression data,
wherein the demographic impression comprises an impression date and the user identifier, and
wherein the impression date and the user identifier are matched to the anonymized subscriber demographic data of the subscriber of the plurality of subscribers;

retrieving, based on the user identifier, a predicted age probability density function,
wherein the predicted age probability density function defines, for each of a plurality of age ranges, a respective probability that an actual age of the subscriber is within that age range;

updating the predicted age probability density function to generate an age-corrected probability density function; and
using the age-corrected probability density function to update the demographic impression to correct the age characteristic of the subscriber; and
outputting, using the updated demographic impression, media ratings information about the media item, wherein the updated demographic impression comprises a corrected age characteristic of the subscriber.

2. The audience measurement system of claim 1 , the set of operations further comprising:
associating an age-corrected probability density function identifier with the age-corrected probability density function; and
storing the age-corrected probability density function identifier in a second database.

3. The audience measurement system of claim 1 , wherein the set of operations further comprise selecting, using the predicted age probability density function, an age range of the plurality of age ranges that corresponds to the age characteristic of the subscriber.

4. The audience measurement system of claim 1 , the set of operations further comprising:
storing, in a second database, the user identifier, an indication of the predicted age probability density function and a prediction date,
wherein the prediction date corresponds to a point in time when the predicted age probability density function was originally predicted;
wherein the user identifier, the indication of the predicted age probability density function, and the prediction date are stored in a same data structure in the second database; and
wherein locating the user identifier from the second database also retrieves the indication of the predicted age probability density function and the prediction date.

5. The audience measurement system of claim 4 , wherein the point in time is a first point in time, and wherein the predicted age probability density function is stored at a first point in time.

6. The audience measurement system of claim 5 , wherein retrieving the predicted age probability density function occurs at a second point in time; and wherein the second point in time occurs after the first point in time.

7. The audience measurement system of claim 1 ,
wherein updating the predicted age probability density function comprises:
using a prediction date to determine an aging factor for each of the plurality of age ranges to generate the age-corrected probability density function; and
applying the aging factor to each of the plurality of age ranges.

8. The audience measurement system of claim 7 ,
wherein applying the aging factor to each of the plurality of age ranges generates a probability for each of the plurality of age ranges that the subscriber is in the respective age range;
wherein using the age-corrected probability density function to update the demographic impression to correct the age characteristic of the subscriber comprises selecting, based on the respective probabilities, an age range of the subscriber; and
wherein the age range is associated with the corrected age characteristic of the subscriber.

9. A method for correcting age-based misattribution errors, the method comprising:
receiving, from a database proprietor, anonymized subscriber demographic data of a plurality of subscribers registered with the database proprietor, wherein the anonymized subscriber demographic data comprises corresponding age characteristics of the plurality of subscribers and is based on network communications received by the database proprietor from client devices of the plurality of subscribers;
storing, in a database, the anonymized subscriber demographic data;
receiving, from a client device, impression data after a media item is accessed on the client device, wherein the impression data comprises an impression request and a user identifier;
generating a demographic impression of a plurality of demographic impressions by attributing anonymized subscriber demographic data of a subscriber of the plurality of subscribers to the impression data,
wherein the demographic impression comprises an impression date and the user identifier, and
wherein the impression date and the user identifier are matched to the anonymized subscriber demographic data of the subscriber of the plurality of subscribers;

retrieving, based on the user identifier, a predicted age probability density function,
wherein the predicted age probability density function defines, for each of a plurality of age ranges, a respective probability that an actual age of the subscriber is within that age range;

updating the predicted age probability density function to generate an age-corrected probability density function; and
using the age-corrected probability density function to update the demographic impression to correct the age characteristic of the subscriber; and
outputting, using the updated demographic impression, media ratings information about the media item, wherein the updated demographic impression comprises a corrected age characteristic of the subscriber.

10. The method of claim 9 , further comprising:
associating an age-corrected probability density function identifier with the age-corrected probability density function; and
storing the age-corrected probability density function identifier in a second database.

11. The method of claim 9 , further comprising:
storing, in a second database, the user identifier, an indication of the predicted age probability density function and a prediction date,
wherein the prediction date corresponds to a point in time when the predicted age probability density function was originally predicted;
wherein the user identifier, the indication of the predicted age probability density function, and the prediction date are stored in a same data structure in the second database; and

wherein locating the user identifier from the second database also retrieves the indication of the predicted age probabili

Assignees

• Nielsen Co Us Llc

Inventors

• Sheppard Michael
• Sullivan Jonathan
• Reid Matthew B
• Terrazas Alejandro

Classifications

• H04N21/4665

  involving classification methods, e.g. Decision trees · CPC title

• H04N21/4532

  involving end-user characteristics, e.g. viewer profile, preferences (monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18) · CPC title

• H04N21/25883

  being end-user demographical data, e.g. age, family status or address (arrangements for identifying locations of users in broadcast systems H04H60/52) · CPC title

• H04N21/252

  Processing of multiple end-users' preferences to derive collaborative data · CPC title

• H04N21/4667

  Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections · CPC title