Multisided audience-related hybrid measurements

• US 8,819,292 B2
• Filed: 09/03/2013
• Issued: 08/26/2014
• Est. Priority Date: 10/07/2010
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Bhatia, Tarun, Farahat, Ayman
• Primary Examiner(s): JEAN GILLES, JUDE
• Application Number:
  US14/016,927
• Publication Number:
  US 20140006105A1
• Time in Patent Office: 357 Days
• Field of Search: 709/247, 709/217, 709/213, 709/230, 709/223, 709/249, 709/248
• US Class Current: 709/247
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

The present invention provides techniques for use in audience-related measurements, including hybrid techniques which include use of panel-based audience-related measurement information and census-based audience-related measurement information. Techniques are provided in which panel-based audience-related measurement information is obtained from multiple providing entities, and census-based audience-related measurement information is obtained one or more providing entities. The obtained information is stored in a database. The stored information may be provided to the information-providing entities, and may be used in calibrating or improving the accuracy of audience-related measurements.

Claims

1. A system comprising:

one or more processors; and

one or more databases capable of being coupled to the one or more processors;

wherein the one or more databases are configured for;

storing aggregated audience-related measurement information comprising;

panel-based audience-related measurement information, obtained from one or more panel-based information-providing entities, and

census-based audience-related measurement information, obtained from one or more census-based information-providing entities; and

storing one or more audience-based measurement calibrations, wherein the audience-based measurement calibrations are generated as a result of providing the aggregated audience-related measurement information to each of the panel-based information-providing entities and each of the census-based information-providing entities.

2. The system of claim 1, wherein the aggregated audience-related measurement information comprises an aggregation and integration of at least the panel-based audience-related measurement information from each of the panel-based information-providing entities.

3. The system of claim 1, wherein the aggregated audience-related measurement information comprises an aggregation and integration of at least the census-based audience-related measurement information from each of the census-based information-providing entities.

4. The system of claim 1, wherein the audience-based measurement calibrations comprise improvements derived from at least measurement precision and accuracy of the aggregated audience-related measurement information.

5. The system of claim 1, wherein the aggregated audience-related measurement information comprises hybrid estimations derived from manipulating, aggregating, integrating, combining, or reorganizing the panel-based audience-related measurement information and the census-based audience-related measurement information.

6. The system of claim 5, wherein the audience-based measurement calibrations comprise improvements to at least measurement precision and accuracy of the hybrid estimations.

7. The system of claim 1, further configured for:

storing a set of calibrated measurement information in the database, wherein the set of calibrated measurement information is derived from utilizing at least the audience-based measurement calibrations.

8. The system of claim 7, further configured for:

(A) updating the audience-based measurement calibrations, wherein updating the audience-based measurement calibrations is a result of providing the set of calibrated measurement information to each of the panel-based information-providing entities and each of the census-based information-providing entities;

(B) updating the set of calibrated measurement information, wherein updating the set of calibrated measurement information is a result of utilizing the updated audience-based measurement calibrations; and

(C) storing a prescribed calibration threshold, wherein the prescribed calibration threshold is utilized in updating the audience-based measurement calibrations and the set of calibrated measurement information until the prescribed calibration threshold is exceeded.

9. The system of claim 8, wherein the prescribed calibration threshold is determined in part by a minimum degree of modification for updating the audience-based measurement calibrations.

10. A method using one or more computers, the method comprising:

obtaining a first set of information comprising;

panel-based audience-related measurement information from each of one or more panel-based information-providing entities; and

census-based audience-related measurement information from each of one or more census-based information-providing entities;

storing the first set of information in a database;

generating an aggregated audience-related measurement information derived from each of the panel-based and census-based information-providing entities;

providing the aggregated audience-related measurement information to each of the panel-based and census-based information-providing entities; and

generating, based in part on providing the aggregated audience-related measurement information, one or more audience-based measurement calibrations.

11. The method of claim 10, wherein the aggregated audience-related measurement information comprises an aggregation and integration of at least the panel-based audience-related measurement information from each of the panel-based information-providing entities.

12. The method of claim 10, wherein the aggregated audience-related measurement information comprises an aggregation and integration of at least the census-based audience-related measurement information from each of the census-based information-providing entities.

13. The method of claim 10, wherein generating the audience-based measurement calibrations comprises utilizing the aggregated audience-related measurement information to improve at least measurement precision and accuracy of the first set of information obtained from each of the panel-based and census-based information-providing entities.

14. The method of claim 10, wherein the aggregated audience-related measurement information comprises hybrid estimations derived from manipulating, aggregating, integrating, combining, or reorganizing the first set of information obtained from each of the panel-based and census-based information-providing entities.

15. The method of claim 14, wherein generating the audience-based measurement calibrations comprises utilizing the hybrid estimations to improve at least measurement precision and accuracy of the first set of information obtained from each of the panel-based and census-based information-providing entities.

16. The method of claim 10, further comprising:

utilizing at least the audience-based measurement calibrations to generate a set of calibrated measurement information; and

storing the set of calibrated measurement information in the database.

17. The method of claim 16, further comprising:

manipulating, aggregating, integrating, combining, or reorganizing the set of calibrated measurement information.

18. The method of claim 16, further comprising the steps:

(A) providing the set of calibrated measurement information to each of the panel-based and census-based information-providing entities;

(B) updating, based in part on providing the set of calibrated measurement information, the audience-based measurement calibrations;

(C) utilizing at least the updated audience-based measurement calibrations to update the set of calibrated measurement information; and

(D) if a prescribed calibration threshold has not been exceeded, iteratively repeating steps (A)-(C) until the prescribed calibration threshold is exceeded.

19. The method of claim 18, wherein the prescribed calibration threshold is determined in part by a minimum degree of modification for updating the audience-based measurement calibrations.

20. A non-transitory computer readable medium or media containing instructions for executing a method using one or more computers, the method comprising:

obtaining a first set of information comprising;

panel-based audience-related measurement information from each of one or more panel-based information-providing entities; and

census-based audience-related measurement information from each of one or more census-based information-providing entities;

using one or more computers, storing the first set of information in a database;

using one or more computers, generating an aggregated audience-related measurement information derived from each of the panel-based and census-based information-providing entities;

providing the aggregated audience-related measurement information to each of the panel-based and census-based information-providing entities;

generating, based in part on providing the aggregated audience-related measurement information, one or more audience-based measurement calibrations;

utilizing at least the audience-based measurement calibrations to generate a set of calibrated measurement information;

constructing an open standard and an open mechanism from manipulating, aggregating, integrating, combining, or reorganizing the set of calibrated measurement information; and

providing the open standard and the open mechanism to at least one of the panel-based information-providing entities and at least one of the census-based information-providing entities, for use in connection with advertising or advertising-related applications.