Methods and Apparatus to Calculate Audience Estimations

• US 20090313232A1
• Filed: 03/26/2008
• Published: 12/17/2009
• Est. Priority Date: 03/26/2008
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Bashaw, Ian, Tinsley, Thomas Austin
• Application Number:
  US12/055,887
• Publication Number:
  US 20090313232A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04H 60/39 for identifying broadcast space-time use of Electronic Programme Guides H04H60/72
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04H 60/51 of receiving stations
• CPC Class Codes: H04H 60/66 for using the result on distributors' side
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/8543 using a description language, e.g. Multimedia and Hypermedia information coding Expert Group [MHEG], eXtensible Markup Language [XML] information retrieval of semistructured data, the underlying structure being taken into account, e.g. mark-up language structure data G06F16/80
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

Methods and apparatus for calculating audience estimations are disclosed. An example method includes identifying a subset of stored viewership data and allocating an observation array having a first-dimension index, each indicie of the index associated with one time-period of at least one household datapoint in the subset of stored viewership data. Additionally, the example method includes transferring the identified subset to the observation array, building an extensible markup language (XML) file based on at least one detected characteristic in the observation array, and generating a graphical user interface (GUI) based on the XML file for use with at least one query selection associated with the at least one detected characteristic.

Claims

1. A method to analyze viewership information comprising:

identifying a subset of stored viewership data;

allocating an observation array having a first-dimension index, each indicie of the index associated with one time-period of at least one household datapoint in the subset of stored viewership data;

transferring the identified subset to the observation array;

building an extensible markup language (XML) file based on at least one detected characteristic in the observation array; and

generating a graphical user interface (GUI) based on the XML file for use with at least one query selection associated with the at least one detected characteristic.

2. A method as defined in claim 1, further comprising allocating at least one characteristics array and transferring viewership information from the observation array to a second-dimension of the characteristics array, the viewership information associated with the at least one query selection.

3. A method as defined in claim 2, wherein the at least one characteristics array comprises at least one of a persons-characteristics array, a household-characteristics array, or a geographic-characteristics array.

4. A method as defined in claim 3, wherein the persons-characteristics array comprises viewership information associated with at least one of age, sex, or ethnicity.

5. A method as defined in claim 3, wherein the household-characteristics array comprises viewership information associated with at least one of household audio equipment, household video equipment, household internet capabilities, or household income.

6. A method as defined in claim 3, wherein the geography-characteristics array comprises viewership information associated with at least one of a designated market area, a county, or a city.

7. A method as defined in claim 2, further comprising consolidating the viewership information of the at least one characteristics array to an aggregate array, the aggregate array comprising a first-dimension index corresponding to the first-dimension index of the observation array.

8. A method as defined in claim 7, wherein consolidating the viewership information further comprises:

identifying a start-time of interest;

extracting the viewership information from the at least one characteristics array corresponding to the start-time; and

transferring the viewership information to the aggregate array at an indicie of the first-dimension index corresponding to the start-time.

9. A method as defined in claim 8, wherein the viewership information is transferred to a second-dimension of the aggregate array.

10. A method as defined in claim 7, further comprising allocating an accumulator for each of the at least one query selections.

11. A method as defined in claim 10, further comprising:

iterating through the first-dimension index of the aggregate array;

detecting an instance of the at least one query selection; and

incrementing an accumulator associated with the at least one query selection.

12. A method as defined in claim 1, wherein the subset of stored viewership data comprises a twenty-four hour period of viewership data.

13. A method as defined in claim 1, wherein allocating the first-dimension index of the observation array comprises associating each indicie with one minute in a twenty-four hour period.

14. A method as defined in claim 13, wherein the first-dimension index is 1441 indicies in length.

15. A method as defined in claim 1, wherein the GUI constrains the user to select only the at least one detected characteristic.

16. A method as defined in claim 1, wherein transferring the identified subset to the observation array further comprises filtering household datapoints that satisfy a viewership threshold.

17. A method as defined in claim 16, wherein the viewership threshold comprises a minimum number of consecutive minutes of same-station viewing time.

18. A method as defined in claim 1, wherein the observation array comprises at least one numerical identifier corresponding to the at least one characteristic.

19. A method as defined in claim 18, wherein building the XML file further comprises reconciling the at least one numerical identifier with a data structure to obtain human-readable information.

20. An apparatus to analyze viewership information comprising:

a viewership database to store viewership information associated with a plurality of households;

an extensible markup language (XML) generator to transfer a portion of the viewership information to an observation array and generate an XML file indicative of viewership characteristics detected in the observation array; and

an estimation engine to build a graphical user interface (GUI) based on a viewership characteristic detected in the observation array.

21. An apparatus as defined in claim 20, further comprising at least one characteristics array to store a subset of viewership data unique to one of the viewership characteristics detected within the observation array.

22. An apparatus as defined in claim 21, wherein the at least one characteristics array comprises at least one of a geography-characteristics array, a household-characteristics array, or a persons-characteristics array.

23. An apparatus as defined in claim 21, further comprising a data structure to translate numerical representations of the viewership characteristics to human-readable representations of the viewership characteristics.

24. An apparatus as defined in claim 23, wherein the data structure further comprises at least one of a household-characteristics reference array, a persons-characteristics reference array, or a geography reference array.

25. An apparatus as defined in claim 21, further comprising an aggregate array to store the viewership characteristics associated with the at least one characteristics array.

26. An apparatus as defined in claim 25, further comprising an accumulator engine to allocate at least one accumulator associated with each selected viewership characteristic, the accumulator engine to parse the aggregate array for an instance of each of the selected viewership characteristics and increment the at least one accumulator in response thereto.

27. An article of manufacture storing machine readable instructions which, when executed, cause the machine to:

identify a subset of stored viewership data;

allocate an observation array having a first-dimension index, each indicie of the index associated with one time-period of at least one household datapoint in the subset of stored viewership data;

transfer the identified subset to the observation array;

build an extensible markup language (XML) file based on at least one detected characteristic in the observation array; and

generate a graphical user interface (GUI) based on the XML file for use with at least one query selection associated with the at least one detected characteristic.

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