Methods and apparatus to utilize minimum cross entropy to calculate granular data of a region based on another region for media audience measurement
View Patent ↗Methods and apparatus to utilize a minimum cross entropy to calculate granular data of a region based on another region for media audience measurement. An example method for calculating granular data of a region for media audience measurement includes determining, by executing first instructions via a processor, aggregate behavioral data associated with a measurement of a media audience of a target region; determining, by executing second instructions via the processor, aggregate demographics data of the target region; and determining, by executing third instructions via the processor, granular data of a source region. The example method includes calculating, by executing fourth instructions via the processor, granular data of the media audience of the target region by utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region to determine.
1. A method for calculating granular data of a region for media audience measurement, the method comprising:
determining, by executing first instructions via a processor, aggregate behavioral data associated with a measurement of a media audience of a target region, the aggregate behavioral data including a first count of target region audience members satisfying a behavioral constraint;
determining, by executing second instructions via the processor, aggregate demographics data of the target region, the aggregate demographics data including a second count of the target region audience members satisfying a first demographic constraint and a third count of the target region audience members satisfying a second demographic constraint;
determining, by executing third instructions via the processor, granular data of a source region, the granular data including a fourth count of source region audience members satisfying the behavioral constraint and the first demographic constraint and a fifth count of the source region audience members satisfying the behavioral constraint and the second demographic constraint;
calculating, by executing fourth instructions via the processor, granular data of the media audience of the target region utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region, the granular data of the media audience of the target region including a sixth count of the target region audience members satisfying the behavioral constraint and the first demographic constraint and a seventh count of the target region audience members satisfying the behavioral constraint and the second demographic constraint; and
reducing an amount of computer memory and computer processing resources of computer networked data collection systems utilized to collect data of the target region to determine the granular data of the media audience of the target region by calculating the granular data of the target region without collecting person-specific data from members of the target region, the calculated granular data of the media audience of the target region being based on the aggregate demographics data of the target region, the aggregate behavioral data of the target region, and the granular data of the source region.
2. The method as defined in claim 1 , wherein the first demographic constraint and the second demographic constraint are mutually exclusive.
3. The method as defined in claim 1 , wherein utilizing the minimum cross entropy to calculate the granular data of the media audience of the target region includes performing non-linear optimization based on the granular data of the source region, the aggregate demographics data of the target region, and the aggregate behavioral data of the target region.
4. The method as defined in claim 3 , wherein utilizing the minimum cross entropy to calculate the granular data of the media audience of the target region includes defining an optimization constraint based on the aggregate behavioral data and the aggregate demographics data of the target region, the non-linear optimization being limited by the optimization constraint.
5. The method as defined in claim 3 , further including, prior to utilizing the minimum cross entropy, determining whether to calculate the granular data of the media audience of the target region via the minimum cross entropy by evaluating the fourth count and the fifth count of the granular data of the source region.
6. The method as defined in claim 1 , wherein determining the aggregate behavioral data of the target region includes determining tuning data of the target region and determining the granular data of the source region includes determining exposure data of the source region, the target region being a non-panelist region and the source region being a panelist region, the non-panelist region and the panelist region being mutually exclusive.
7. The method as defined in claim 1 , wherein determining the aggregate behavioral data of the target region includes determining impressions data of a population and determining the granular data of the source region includes determining impressions data associated with demographics data of panelists, the target region being the population and the source region being a sub-region of panelists of the population.
8. The method as defined in claim 1 , wherein the processor includes at least a first processor of a first hardware computer system and a second processor of a second hardware computer system.
9. An apparatus for calculating granular data of a region for media audience measurement, the apparatus comprising:
a target region determiner to:
determine aggregate behavioral data associated with a measurement of a media audience of a target region, the aggregate behavioral data including a first count of target region audience members satisfying a behavioral constraint;
determine aggregate demographics data of the target region, the aggregate demographics data including a second count of the target region audience members satisfying a first demographic constraint and a third count of the target region audience members satisfying a second demographic constraint;
a source region determiner to determine granular data of a source region, the granular data including a fourth count of source region audience members satisfying the behavioral constraint and the first demographic constraint and a fifth count of the source region audience members satisfying the behavioral constraint and the second demographic constraint;
a target region calculator to calculate granular data of the media audience of the target region by utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region, the granular data of the media audience of the target region including a sixth count of the target region audience members satisfying the behavioral constraint and the first demographic constraint and a seventh count of the target region audience members satisfying the behavioral constraint and the second demographic constraint; and
wherein the target region determiner is to reduce an amount of computer memory and computer processing resources of computer networked data collection systems utilized to collect data of the target region to determine the granular data of the media audience of the target region by calculating the granular data of the target region without collecting person-specific data from members of the target region, the calculated granular data of the media audience of the target region being based on the aggregate demographics data of the target region, the aggregate behavioral data of the target region, and the granular data of the source region.
10. The apparatus as defined in claim 9 , wherein the first demographic constraint and the second demographic constraint are mutually exclusive.
11. The apparatus as defined in claim 9 , wherein the target region calculator is to utilize the minimum cross entropy to determine the granular data of the media audience of the target region by performing non-linear optimization based on the granular data of the source region, the aggregate demographics data of the target region, and the aggregate behavioral data of the target region.
12. The apparatus as defined in claim 11 , wherein the target region calculator is to utilize the minimum cross entropy to determine the granular data of the media audience of the target region by defining an optimization constraint based on the aggregate behavioral data and the aggregate demographics data of the target region, the non-linear optimization being limited by the optimization constraint.
13. The apparatus as defined in claim 11 , wherein, prior to the target region calculator utilizing the minimum cross entropy, the target region calculator is to determine whether to calculate the granular data of the media audience of the target region by evaluating the fourth count and the fifth count of the granular data of the source region.
14. The apparatus as defined in claim 9 , wherein the target region determiner is to determine tuning data of the target region to determine the aggregate behavioral data of the target region and is to determine exposure data of the source region to determine the granular data of the source region, the target region being a non-panelist region and the source region being a panelist region, the non-panelist region and the panelist region being mutually exclusive.
15. The apparatus as defined in claim 9 , wherein the target region determiner is to determine impressions data of a population to determine the aggregate behavioral data of the target region and is to determine impressions data associated with demographics data of panelists to determine the granular data of the source region, the target region being the population and the source region being a sub-region of panelists of the population.
16. A tangible computer readable storage medium for calculating granular data of a region for media audience measurement, the tangible computer readable storage medium comprising instructions which, when executed, cause a machine to at least:
determine aggregate behavioral data associated with an audience measurement of a target region, the aggregate behavioral data including a first count of target region audience members satisfying a behavioral constraint;
determine aggregate demographics data of the target region, the aggregate demographics data including a second count of the target region audience members satisfying a first demographic constraint and a third count of the target region audience members satisfying a second demographic constraint;
determine granular data of a source region, the granular data including a fourth count of source region audience members satisfying the behavioral constraint and the first demographic constraint and a fifth count of the source region audience members satisfying the behavioral constraint and the second demographic constraint;
calculate granular data of a media audience of the target region by utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region, the granular data of the media audience of the target region including a sixth count of the target region audience members satisfying the behavioral constraint and the first demographic constraint and a seventh count of the target region audience members satisfying the behavioral constraint and the second demographic constraint; and
reduce an amount of computer memory and computer processing resources of computer networked data collection systems utilized to collect data of the target region to determine the granular data of the media audience of the target region by calculating the granular data of the target region without collecting person-specific data from members of the target region, the calculated granular data of the media audience of the target region being based on the aggregate demographics data of the target region, the aggregate behavioral data of the target region, and the granular data of the source region.
17. The tangible computer readable storage medium as defined in claim 16 , wherein, to utilize the minimum cross entropy to determine the granular data of the media audience of the target region, the instructions further cause the machine to perform non-linear optimization based on the granular data of the source region, the aggregate demographics data of the target region, and the aggregate behavioral data of the target region.
18. The tangible computer readable storage medium as defined in claim 17 , wherein, to utilize the minimum cross entropy to determine the granular data of the media audience of the target region, the instructions further cause the machine to define an optimization constraint based on the aggregate behavioral data and the aggregate demographics data of the target region, the non-linear optimization being limited by the optimization constraint.
19. The tangible computer readable storage medium as defined in claim 17 , wherein, prior to utilizing the minimum cross entropy, the instructions further cause the machine to determine whether to calculate the granular data of the media audience of the target region via the minimum cross entropy by evaluating the fourth count and the fifth count of the granular data of the source region.
20. The tangible computer readable storage medium as defined in claim 17 , wherein, to determine the aggregate behavioral data of the target region, the instructions further cause the machine to determine tuning data of the target region and, to determine the granular data of the source region, the instructions further cause the machine to determine exposure data of the source region, the target region being a non-panelist region and the source region being a panelist region, the non-panelist region and the panelist region being mutually exclusive.
21. The tangible computer readable storage medium as defined in claim 17 , wherein, to determine the aggregate behavioral data of the target region, the instructions further cause the machine to determine impressions data of a population and, to determine the granular data of the source region, the instructions further cause the machine to determine impressions data associated with demographics data of panelists, the target region being the population and the source region being a sub-region of panelists of the population.