Methods and apparatus to generate electronic mobile measurement census data

Abstract

An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.

What is claimed is: 
     
         1 . An apparatus to correct media measurement data generated by a server, comprising:
 at least one memory;   instructions; and   at least one processor to execute the instructions to:
 generate electronic mobile measurement data based on network communications received from first client devices, the network communications corresponding to media accessed at the first client devices; 
 select attributes associated with the electronic mobile measurement data to include in a model; 
 generate the model based on the attributes and a first portion of the electronic mobile measurement data; 
 determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices; and 
 when the percentage satisfies a threshold:
 determine: (a) when a second user operating a second client device is a primary user based on the model, and (b) when the user operating the second client device is one of a plurality of third users based on the model; and 
 associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error, the misattribution error generated by an impression server when generating the electronic mobile measurement data. 
 
   
     
     
         2 . The apparatus of  claim 1 , wherein the at least one processor is to execute the instructions to associate the demographic information of the second user operating the second client device with the electronic mobile measurement data to reduce processing resources on the second client device by identifying the second user operating the second client device without requiring the second user operating the second client device to self-identify. 
     
     
         3 . The apparatus of  claim 1 , wherein the attributes are first attributes and the model is a first model, and in response to the percentage not satisfying the threshold, the at least one processor is to execute the instructions to:
 select second attributes associated with the electronic mobile measurement data;   generate a second assignment model based on the second attributes and the first portion of the electronic mobile measurement data;   identify the second user operating the second client device as at least one of the primary user or one of the plurality of third users based on the second model; and   associate the demographic information of the second user with the electronic mobile measurement data to reduce the misattribution error.   
     
     
         4 . The apparatus of  claim 1 , wherein the attributes include at least one of demographic information, household information, media information, or information related to the first client devices. 
     
     
         5 . The apparatus of  claim 1 , wherein the threshold is based on at least one of an error tolerance of a customer of an audience measurement entity or a known amount of error in the first portion of the electronic mobile measurement data. 
     
     
         6 . The apparatus of  claim 1 , wherein when a size of a household of the second user operating the second client device equals one, the at least one processor is to execute the instructions to identify the primary user as the second user operating the second client device. 
     
     
         7 . An apparatus, comprising:
 at least one memory;   instructions; and   at least one processor to execute the instructions to:
 log an impression based on a communication received from a client device, the logged impression corresponding to media accessed at the client device by a user operating the client device; 
 determine that a primary user of the client device is not the user operating the client device when a first probability score calculated for the primary user does not satisfy a threshold, the first probability score indicative of a probability that the primary user is an audience member of the media accessed at the client device, the primary user being a household member of a household; 
 in response to the determination that the primary user is not the user operating the client device:
 determine probability scores for corresponding ones of secondary users, the secondary users being household members residing in the household with the primary user, the probability scores indicative of probabilities that corresponding ones of the secondary users are the user operating the client device; and 
 identify one of the secondary users as being the user operating the client device based on the one of the secondary users corresponding to a highest probability score of the probability scores; and 
 
 reduce processing resource requirements of the client device by identifying the user operating the client device to associate demographic information of the user operating the client device with the logged impression without requiring the user operating the client device to self-identify. 
   
     
     
         8 . The apparatus of  claim 7 , wherein when a size of the household equals one, the at least one processor is to execute the instructions to identify the primary user as the user operating the client device. 
     
     
         9 . The apparatus of  claim 7 , wherein when the primary user has indicated that the primary user does not share the client device, the at least one processor is to execute the instructions to identify the primary user as the user of the client device. 
     
     
         10 . The apparatus of  claim 7 , wherein the threshold is a calibration factor divided by a size of the household. 
     
     
         11 . The apparatus of  claim 10 , wherein the calibration factor is based on second demographic information of the primary user and a type of the client device. 
     
     
         12 . The apparatus of  claim 11 , wherein the second demographic information of the primary user and the type of the client device correspond to a first demographic group, and the calibration factor is a ratio of an average time that the first demographic group accessed the media and an average time that all demographic groups accessed the media. 
     
     
         13 . At least one non-transitory computer readable medium comprising instructions that, when executed, cause at least one processor to at least:
 log an impression based on a communication received from a client device, the logged impression corresponding to media accessed at the client device by a user operating the client device;   determine that a primary user of the client device is not the user operating the client device when a first probability score calculated for the primary user does not satisfy a threshold, the first probability score indicative of a probability that the primary user is an audience member of the media accessed at the client device, the primary user being a household member of a household;   in response to the determination that the primary user is not the user operating the client device:
 determine probability scores for corresponding ones of secondary users, the secondary users being household members residing in the household with the primary user, the probability scores indicative of probabilities that corresponding ones of the secondary users are the user operating the client device; and 
 identify one of the secondary users as being the user operating the client device based on the one of the secondary users corresponding to a highest probability score of the probability scores; and 
   reduce processing resource requirements of the client device by identifying the user operating the client device to associate demographic information of the user operating the client device with the logged impression without requiring the user operating the client device to self-identify.   
     
     
         14 . The at least one non-transitory computer readable medium of  claim 13 , wherein when a size of the household equals one, the instructions, when executed, cause the at least one processor to identify the primary user as the user operating the client device. 
     
     
         15 . The at least one non-transitory computer readable medium of  claim 13 , wherein when the primary user has indicated that the primary user does not share the client device, the instructions, when executed, cause the at least one processor to identify the primary user as the user of the client device. 
     
     
         16 . The at least one non-transitory computer readable medium of  claim 13 , wherein the threshold is a calibration factor divided by a size of the household. 
     
     
         17 . The at least one non-transitory computer readable medium of  claim 16 , wherein the calibration factor is based on second demographic information of the primary user and a type of the client device. 
     
     
         18 . The at least one non-transitory computer readable medium of  claim 17 , wherein the second demographic information of the primary user and the type of the client device correspond to a first demographic group, and the calibration factor is a ratio of an average time that the first demographic group accessed the media and an average time that all demographic groups accessed the media.