METHODS AND APPARATUS TO GENERATE AUDIENCE METRICS USING THIRD-PARTY PRIVACY-PROTECTED CLOUD ENVIRONMENTS
Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. An example apparatus includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to generate a first demographic correction model based on a first matrix, the first matrix including first data indicative of user accesses to media, the first matrix associated with a first demographic, generate a second demographic correction model based on a second matrix, the second matrix including second data indicative of user accesses to the media, the second matrix associated with a second demographic, and generate predicted demographics of a user associated with the user accesses based on the first demographic correction model and the second demographic correction model, the predicted demographics including the first demographic and the second demographic.
1 . A system comprising:
at least one memory;
programmable circuitry; and
instructions to cause the programmable circuitry to:
generate a first demographic correction model based on a first matrix, the first matrix including first data indicative of user accesses to media, the first matrix associated with a first demographic;
generate a second demographic correction model based on a second matrix, the second matrix including second data indicative of user accesses to the media, the second matrix associated with a second demographic; and
generate predicted demographics of a user associated with the user accesses based on the first demographic correction model and the second demographic correction model, the predicted demographics including the first demographic and the second demographic.
2 . The system of claim 1 , wherein the programmable circuitry is to generate the predicted demographics of the user by applying the first demographic correction model to impression data to generate a corrected age of the user and by applying the second demographic correction model to the impression data to generate a corrected gender of the user.
3 . The system of claim 1 , wherein the programmable circuitry is to generate the first demographic correction model based on first input features and generate the second demographic correction model based on second input features.
4 . The system of claim 1 , wherein the first data and the second data include classifications of Internet searches requested by the user.
5 . The system of claim 1 , wherein the first demographic corresponds to an age of the user and the second demographic corresponds to a gender of the user.
6 . The system of claim 1 , wherein the first demographic and the second demographic are self-reported demographics associated with the user.
7 . The system of claim 6 , wherein the user is a subscriber of a database proprietor, the self-reported demographics of the user collected at a database of the database proprietor.
8 . A non-transitory computer readable medium comprising instructions that, when executed, cause programmable circuitry to at least:
generate a first demographic correction model based on a first matrix, the first matrix including first data indicative of user accesses to media, the first matrix associated with a first demographic;
generate a second demographic correction model based on a second matrix, the second matrix including second data indicative of user accesses to the media, the second matrix associated with a second demographic; and
generate predicted demographics of a user associated with the user accesses based on the first demographic correction model and the second demographic correction model, the predicted demographics including the first demographic and the second demographic.
9 . The non-transitory computer readable medium of claim 8 , wherein the instructions are to cause the programmable circuitry to generate the predicted demographics of the user by applying the first demographic correction model to impression data to generate a corrected age of the user and by applying the second demographic correction model to the impression data to generate a corrected gender of the user.
10 . The non-transitory computer readable medium of claim 8 , wherein the instructions are to cause the programmable circuitry to generate the first demographic correction model based on first input features and generate the second demographic correction model based on second input features.
11 . The non-transitory computer readable medium of claim 8 , wherein the first data and the second data include classifications of Internet searches requested by the user.
12 . The non-transitory computer readable medium of claim 8 , wherein the first demographic corresponds to an age of the user and the second demographic corresponds to a gender of the user.
13 . The non-transitory computer readable medium of claim 8 , wherein the first demographic and the second demographic are self-reported demographics associated with the user.
14 . The non-transitory computer readable medium of claim 13 , wherein the user is a subscriber of a database proprietor, the self-reported demographics of the user collected at a database of the database proprietor.
15 . A method comprising:
generating, by executing an instruction with processor circuitry, a first demographic correction model based on a first matrix, the first matrix including first data indicative of user accesses to media, the first matrix associated with a first demographic;
generating, by executing an instruction with the processor circuitry, a second demographic correction model based on a second matrix, the second matrix including second data indicative of user accesses to the media, the second matrix associated with a second demographic; and
generating, by executing an instruction with the processor circuitry, predicted demographics of a user associated with the user accesses based on the first demographic correction model and the second demographic correction model, the predicted demographics including the first demographic and the second demographic.
16 . The method of claim 15 , wherein the generating of the predicted demographics is performed by applying the first demographic correction model to impression data to generate a corrected age of the user and by applying the second demographic correction model to the impression data to generate a corrected gender of the user.
17 . The method of claim 15 , wherein the generating of the first demographic correction model is based on first input features and the generating of the second demographic correction model is based on second input features.
18 . The method of claim 15 , wherein the first data and the second data include classifications of Internet searches requested by the user.
19 . The method of claim 15 , wherein the first demographic corresponds to an age of the user and the second demographic corresponds to a gender of the user.
20 . The method of claim 15 , wherein the first demographic and the second demographic are self-reported demographics associated with the user.
21 . The method of claim 20 , wherein the user is a subscriber of a database proprietor, the self-reported demographics of the user collected at a database of the database proprietor.