Demographic attribution of household viewing events

1. A computer-implemented method for aggregating viewership data, the method comprising:

accessing viewership data associated with viewing events in multiple households;

accessing household member data representing information on individual members of each of the multiple households;

determining fractional viewership values for the individual members of each of the multiple households based on the viewership data;

determining household viewership data based on the fractional viewership values;

aggregating the household viewership data representing the same episode to generate episode viewership data;

aggregating the episode viewership data representing multiple episodes of the same program to generate program viewership data;

aggregating the program viewership data for multiple programs of the same network to generate network viewership data;

aggregating the network viewership data for multiple commonly-owned networks to generate entity viewership data; and

generating an aggregated viewership report that includes one or more of the episode viewership data, the program viewership data, the network viewership data, or the entity viewership data.

2. The method of claim 1 , further comprising receiving a request for the aggregated viewership report.

3. The method of claim 2 , wherein the request for the aggregated viewership report is received from a user.

4. The method of claim 2 , wherein the request for the aggregated viewership report is received automatically at a predetermined time interval.

5. The method of claim 1 , wherein determining the fractional viewership values for the individual members of each of the multiple households comprises:

determining, for each individual member of each of the multiple households, a probability for that member having watched the tuning each viewing event.

6. The method of claim 1 , wherein:

the viewership data includes a time, date, and network for each viewing event; and

determining the fractional viewership values for the individual members of each of the multiple households comprises determining a fraction of members of other households with information matching an individual member that watch the network at the time and date associated with the viewing event.

7. The method of claim 1 , wherein the household member data includes, for each of the individual members, one or more demographic groups to which that member belongs.

8. The method of claim 1 , wherein the household member data is based on survey data.

9. The method of claim 1 , wherein determining the fractional viewership values for the individual members of each of the multiple households further comprises:

determining a household adjustment factor representing a probability that at least one member of the household watched the viewing event;

adjusting, for each individual member of the household, the probability for that member having watched the viewing event based on the household adjustment factor; and

determining, for each individual member of the household, the fractional viewership value based on the adjusted probability for that member having watched the viewing event.

10. The method of claim 1 , wherein aggregating the household viewership data representing the same episode to generate the episode viewership data comprises summing the fractional viewership values in each demographic category and dividing by the number of individuals in that category to arrive at a probability profile for the episode.

11. The method of claim 1 , further comprising adjusting the fractional viewership values based on a duration of the viewing event relative to an episode duration.

12. The method of claim 1 , wherein aggregating the episode viewership data representing multiple episodes of the same program to generate the program viewership data comprises producing fractional values representing each individual having watched at least one episode of the program.

13. The method of claim 12 , wherein aggregating the episode viewership data representing multiple episodes of the same program to generate the program viewership data further comprises summing the fractional values representing each individual having watched at least one episode of the program.

14. A non-transitory computer readable storage medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform the following operations:

accessing viewership data associated with viewing events in multiple households;

accessing household member data representing information on individual members of each of the multiple households;

determining fractional viewership values for the individual members of each of the multiple households based on the viewership data;

determining household viewership data based on the fractional viewership values;

aggregating the household viewership data representing the same episode to generate episode viewership data;

aggregating the episode viewership data representing multiple episodes of the same program to generate program viewership data;

aggregating the program viewership data for multiple programs of the same network to generate network viewership data;

aggregating the network viewership data for multiple commonly-owned networks to generate entity viewership data; and

generating an aggregated viewership report that includes one or more of the episode viewership data, the program viewership data, the network viewership data, or the entity viewership data.

15. The medium of claim 14 , further comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform the operation of receiving a request for the aggregated viewership report.

16. The medium of claim 14 , wherein the instructions that, when executed by the one or more processors, cause the one or more processors to perform the operation of determining the fractional viewership values for the individual members of each of the multiple households comprise determining, for each individual member of each of the multiple households, a probability for that member having watched each viewing event.

17. A system comprising a memory for storing data and one or more processors operable to perform operations comprising:

accessing viewership data associated with viewing events in multiple households;

accessing household member data representing information on individual members of each of the multiple households;

determining fractional viewership values for the individual members of each of the multiple households based on the viewership data;

determining household viewership data based on the fractional viewership values;

aggregating the household viewership data representing the same episode to generate episode viewership data;

aggregating the episode viewership data representing multiple episodes of the same program to generate program viewership data;

aggregating the program viewership data for multiple programs of the same network to generate network viewership data;

aggregating the network viewership data for multiple commonly-owned networks to generate entity viewership data; and

generating an aggregated viewership report that includes one or more of the episode viewership data, the program viewership data, the network viewership data, or the entity viewership data.

18. The system of claim 17 , wherein the one or more processors are further operable to perform the operation of receiving a request for the aggregated viewership report.

19. The system of claim 17 , wherein the one or more processors are further operable to perform the operation of determining the fractional viewership values for the individual members of each of the multiple households by determining, for each individual member of each of the multiple households, a probability for that member having watched each viewing event.