Methods and apparatus to correct errors in audience measurements for media accessed using over the top devices

Patent metadata

Field	Value
Publication number	US-11259086-B2
Application number	US-202017027398-A
Country	US
Kind code	B2
Filing date	Sep 21, 2020
Priority date	Jul 2, 2015
Publication date	Feb 22, 2022
Grant date	Feb 22, 2022

Abstract

An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

First claim

What is claimed is:

1. An apparatus to predict demographics for impressions, the apparatus comprising:
a prediction manager to:
determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression;
obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and
generate matched demographic data based on comparing the third demographic data to the first demographic data; and

a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

2. The apparatus of claim 1 , wherein the prediction manager is to determine that a scaling method is not sufficient to predict the first demographic data.

3. The apparatus of claim 2 , wherein the prediction manager is to determine the scaling method is not sufficient when the matched demographic data does not cover a plurality of demographic categories under consideration for linear scaling to be used and when the matched demographic data does not cover at least one of the demographic categories for differential scaling to be used.

4. The apparatus of claim 1 , further including an interface to receive the third demographic data based on an Internet protocol address of the media delivery device.

5. The apparatus of claim 1 , further including an interface to receive the third demographic data based on an Internet protocol address of at least a) a modem, b) a router, or c) a private network.

6. The apparatus of claim 1 , wherein the modeler is to predict the fourth demographic data for the impression by applying the prediction model to impression data, the predicted fourth demographic data to correct for the first database proprietor subscriber not storing first demographic data corresponding to the impression data.

7. The apparatus of claim 1 , wherein the prediction manager is to generate the matched demographic data using a first demographic comparison based on an Internet protocol address concurrently with a second demographic comparison based on a household.

8. A non-transitory computer readable storage medium comprising instructions that, when executed, cause a processor to at least:
determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression;
obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor;
generate matched demographic data based on comparing the third demographic data to the first demographic data; and
generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

9. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the processor to determine that a scaling method is not sufficient to predict the first demographic data.

10. The non-transitory computer readable storage medium of claim 9 , wherein the instructions, when executed, cause the processor to determine the scaling method is not sufficient when the matched demographic data does not cover a plurality of demographic categories under consideration for linear scaling to be used and when the matched demographic data does not cover at least one of the demographic categories for differential scaling to be used.

11. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the processor to receive the third demographic data based on an Internet protocol address of the media delivery device.

12. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the processor to receive the third demographic data based on an Internet protocol address of at least a) a modem, b) a router, or c) a private network.

13. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the processor to predict the fourth demographic data for the impression by applying the prediction model to impression data, the predicted fourth demographic data to correct for the first database proprietor subscriber not storing first demographic data corresponding to the impression data.

14. The non-transitory computer readable storage medium of claim 8 , wherein the instructions, when executed, cause the processor to generate the matched demographic data using a first demographic comparison based on an Internet protocol address concurrently with a second demographic comparison based on a household.

15. A method comprising
determining that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression;
obtaining third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor;
generating matched demographic data based on comparing the third demographic data to the first demographic data; and
generating a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

16. The method of claim 15 , further including determining that a scaling method is not sufficient to predict the first demographic data.

17. The method of claim 16 , wherein determining that the scaling method is not sufficient includes determining that the matched demographic data does not cover a plurality of demographic categories under consideration for linear scaling to be used and when the matched demographic data does not cover at least one of the demographic categories for differential scaling to be used.

18. The method of claim 15 , further including receiving the third demographic data based on an Internet protocol address of the media delivery device.

19. The method of claim 15 , further including receiving the third demographic data based on an Internet protocol address of at least a) a modem, b) a router, or c) a private network.

20. The method of claim 15 , further including predicting the fourth demographic data for the impression by applying the prediction model to impression data, the predicted fourth demographic data to correct for the first database proprietor subscriber not storing first demographic data corresponding to the impression data.

21. An apparatus comprising:
at least one memory;
instructions in the apparatus; and
at least one processor to execute the instructions to:
determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression;
obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor;
generate matched demographic data based on comparing the third demographic data to the first demographic data; and
generate a prediction model

Assignees

• Nielsen Co Us Llc

Inventors

• Nagaraja Rao Kumar
• Toker Yildiz Kamer
• Haskell Jennifer
• Ion Cristina
• Zhang Mimi

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• H04N21/812

  involving advertisement data (advertising per se G06Q30/02) · CPC title

• H04N21/4661

  Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home (user profiles in network data switching protocols H04L67/306) · CPC title

• G06Q30/0251

  Targeted advertisements · CPC title

• H04N21/44226

  on social networks · CPC title