Methods and apparatus to analyze and adjust demographic information

• US 9,582,809 B2
• Filed: 07/27/2015
• Issued: 02/28/2017
• Est. Priority Date: 09/22/2010
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Perez, Albert R., Gaunt, Josh
• Primary Examiner(s): Nguyen, Kim
• Application Number:
  US14/809,888
• Publication Number:
  US 20150332297A1
• Time in Patent Office: 582 Days
• Field of Search: 707/798, 707/810
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0246 Traffic

Abstract

An example method to adjust demographic data involves generating a first model based on reference demographic data corresponding to panelists and based on first self-reported demographic data and behavioral data from a database proprietor. The first self-reported demographic data and the behavioral data correspond to ones of the panelists having user accounts with the database proprietor. The first self-reported demographic data is provided to the database proprietor by the ones of the panelists having the user accounts with the database proprietor. The first model is used to partition the first self-reported demographic data into nodes, each node representing a respective subset of the first self-reported demographic data. At least some of the first self-reported demographic data is redistributed between at least some of the nodes to generate a second model that is to facilitate correcting at least one of inaccuracies or misrepresentations in the second self-reported demographic data.

Claims

1. A method to adjust demographic data, comprising:

generating, by executing an instruction with a processor, a first model based on reference demographic data corresponding to panelists and collected by a first entity, and based on first self-reported demographic data and behavioral data from a database proprietor that is separate from the first entity, the first self-reported demographic data and the behavioral data corresponding to ones of the panelists having user accounts with the database proprietor, and the first self-reported demographic data provided to the database proprietor by the ones of the panelists having the user accounts with the database proprietor;

using, by executing an instruction with the processor, the first model to partition the first self-reported demographic data into a plurality of nodes, each node representing a respective subset of the first self-reported demographic data; and

redistributing, by executing an instruction with the processor, at least some of the first self-reported demographic data between at least some of the nodes to generate a second model, the second model structured to facilitate adjusting second self-reported demographic data of the database proprietor to correct at least one of inaccuracies or misrepresentations in the second self-reported demographic data.

2. The method as defined in claim 1, wherein the second model is structured to facilitate adjusting the second self-reported demographic data by facilitating determining whether to adjust at least some of the second self-reported demographic data based on a statistical analysis of an output of the second model.

3. The method as defined in claim 1, wherein the second self-reported demographic data corresponds to registered users of the database proprietor.

4. The method as defined in claim 3, wherein the registered users include non-panelists.

5. The method as defined in claim 1, wherein the second self-reported demographic data corresponds to users for which impressions to advertisements are logged when the advertisements are rendered on computers of the users.

6. The method as defined in claim 1, wherein the database proprietor provides a social networking service to registered users including non-panelists and the ones of the panelists having the user accounts with the database proprietor.

7. The method as defined in claim 1, wherein the behavioral data includes at least one of a quantity of user connections, a quantity of mobile webpage views, an indicated year of school graduation, a median year of school graduation for persons corresponding to the user connections, or a percent of friends of a specific gender.

8. The method as defined in claim 1, wherein the first self-reported demographic data is collected by the database proprietor from the ones of the panelists having the user accounts with the database proprietor, and the first self-reported demographic data is stored by the database proprietor.

9. A system to adjust demographic data, comprising:

a modeler to generate a first model based on reference demographic data corresponding to panelists and collected by a first entity, and based on first self-reported demographic data and behavioral data from a database proprietor that is separate from the first entity, the first self-reported demographic data and the behavioral data corresponding to ones of the panelists having user accounts with the database proprietor, and the first self-reported demographic data provided to the database proprietor by the ones of the panelists having the user accounts with the database proprietor;

an analyzer to analyze an output of the first model, the output including the first self-reported demographic data in a plurality of nodes, each node representing a respective subset of the first self-reported demographic data; and

an adjuster to redistribute at least some of the first self-reported demographic data between at least some of the nodes to generate a second model, the second model structured to facilitate correcting at least one of inaccuracies or misrepresentations in second self-reported demographic data of the database proprietor, at least one of the modeler, the analyzer, or the adjuster implemented via a logic circuit.

10. The system as defined in claim 9, wherein the second model is structured to facilitate correcting the second self-reported demographic data by facilitating determining whether to adjust at least some of the second self-reported demographic data based on a statistical analysis of an output of the second model.

11. The system as defined in claim 9, wherein the second self-reported demographic data corresponds to registered users of the database proprietor.

12. The system as defined in claim 11, wherein the registered users include non-panelists.

13. The system as defined in claim 9, wherein the second self-reported demographic data corresponds to users for which impressions to advertisements are logged when the advertisements are rendered on computers of the users.

14. The system as defined in claim 9, wherein the database proprietor is to provide a social networking service to registered users including non-panelists and the ones of the panelists having the user accounts with the database proprietor.

15. The system as defined in claim 9, wherein the behavioral data includes at least one of a quantity of user connections, a quantity of mobile webpage views, an indicated year of school graduation, a median year of school graduation for persons corresponding to the user connections, or a percent of friends of a specific gender.

16. The system as defined in claim 9, wherein the first self-reported demographic data is collected by the database proprietor from the ones of the panelists having the user accounts with the database proprietor, and the first self-reported demographic data is stored by the database proprietor.

17. A non-transitory machine readable medium comprising instructions that, when executed, cause a machine to at least:

generate a first model based on reference demographic data corresponding to panelists and collected by a first entity, and based on first self-reported demographic data and behavioral data from a database proprietor that is separate from the first entity, the first self-reported demographic data and the behavioral data corresponding to ones of the panelists having user accounts with the database proprietor, and the first self-reported demographic data provided to the database proprietor by the ones of the panelists having the user accounts with the database proprietor;

use the first model to partition the first self-reported demographic data into a plurality of nodes, each node representing a respective subset of the first self-reported demographic data; and

redistribute at least some of the first self-reported demographic data between at least some of the nodes to generate a second model, the second model structured to facilitate correcting at least one of inaccuracies or misrepresentations in second self-reported demographic data of the database proprietor.

18. The non-transitory machine readable medium as defined in claim 17, wherein the second model is structured to facilitate analyzing and adjusting the second self-reported demographic data by facilitating determining whether to adjust at least some of the second self-reported demographic data based on a statistical analysis of an output of the second model.

19. The non-transitory machine readable medium as defined in claim 17, wherein the second self-reported demographic data corresponds to registered users of the database proprietor.

20. The non-transitory machine readable medium as defined in claim 19, wherein the registered users include non-panelists.

21. The non-transitory machine readable medium as defined in claim 17, wherein the second self-reported demographic data corresponds to users for which impressions to advertisements are logged when the advertisements are rendered on computers of the users.

22. The non-transitory machine readable medium as defined in claim 17, wherein the database proprietor is to provide a social networking service to registered users including non-panelists and the ones of the panelists having the user accounts with the database proprietor.

23. The non-transitory machine readable medium as defined in claim 17, wherein the behavioral data includes at least one of a quantity of user connections, a quantity of mobile webpage views, an indicated year of school graduation, a median year of school graduation for persons corresponding to the user connections, or a percent of friends of a specific gender.

24. The non-transitory machine readable medium as defined in claim 17, wherein the first self-reported demographic data is collected by the database proprietor from the ones of the panelists having the user accounts with the database proprietor, and the first self-reported demographic data is stored by the database proprietor.