Methods and apparatus to characterize households with media meter data
First Claim
1. A method to calculate a probability of ambient tuning, comprising:
- identifying, with a processor, a household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data;
determining, with the processor, whether a panelist audience meter device is crediting the station at the same time in the household;
reducing overreporting of the household when the panelist audience meter device is crediting the same station by associating, with the processor, the household minute with an ambient tuning status;
identifying, with the processor, a first automatic gain control (AGC) value and a first code status of the household minute;
calculating, with the processor, model coefficients based on the ambient tuning status, the first AGC value and the first code status; and
calculating, with the processor, a probability of ambient tuning based on the model coefficients.
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Abstract
Methods, apparatus, systems and articles of manufacture are disclosed to characterize households with media meter data. An example method includes identifying, with a processor, a household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data, determining whether a panelist audience meter device is crediting the station at the same time in the household, when the panelist audience meter device is crediting the same station, associating the household minute with an ambient tuning status, identifying a first automatic gain control (AGC) value and a first code status of the household minute, calculating model coefficients based on the ambient tuning status, the first AGC value and the first code status, and calculating a probability of ambient tuning based on the model coefficients.
177 Citations
21 Claims
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1. A method to calculate a probability of ambient tuning, comprising:
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identifying, with a processor, a household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data; determining, with the processor, whether a panelist audience meter device is crediting the station at the same time in the household; reducing overreporting of the household when the panelist audience meter device is crediting the same station by associating, with the processor, the household minute with an ambient tuning status; identifying, with the processor, a first automatic gain control (AGC) value and a first code status of the household minute; calculating, with the processor, model coefficients based on the ambient tuning status, the first AGC value and the first code status; and calculating, with the processor, a probability of ambient tuning based on the model coefficients. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. An apparatus to calculate a probability of ambient tuning, comprising:
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a crediting manager to identify a household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data; a station comparator to determine whether a panelist audience meter device is crediting the station at the same time in the household; when the panelist audience meter device is crediting the same station, reducing overreporting of the household with a tuning type assignor to associate the household minute with an ambient tuning status; an automatic gain control (AGC) monitor to identify a first AGC value and a first code status of the household minute; and a modeling engine to calculate model coefficients based on the ambient tuning status, the first AGC value and the first code status, and to calculate a probability of ambient tuning based on the model coefficients. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A tangible machine readable storage medium comprising instructions that, when executed, cause a machine to at least:
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identify a household minute credited to a station in a household by a first media meter (MM) device, the first MM device collecting only audio data; determine whether a panelist audience meter device is crediting the station at the same time in the household; reduce overreporting of the household when the panelist audience meter device is crediting the same station by associating the household minute with an ambient tuning status; identify a first automatic gain control (AGC) value and a first code status of the household minute; calculate model coefficients based on the ambient tuning status, the first AGC value and the first code status; and calculate a probability of ambient tuning based on the model coefficients. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification