Deterministic viewer assignment model

A device comprising a processor and a memory, the memory storing computer executable instructions which, when executed by the processor, cause the device to perform operations comprising:

• accessing household member data that identifies a plurality of individual members of a household;
• accessing information that identifies, for each of the plurality of individual members of the household, a probability that a particular portion of content was viewed by that individual member of the household;
• generating a plurality of state spaces, each of the plurality of state spaces comprising an indication of whether or not the particular portion of the content was viewed by each of the plurality of individual members of the household;
• generating a probability distribution that represents, for each of the plurality of state spaces, a probability that the particular portion of the content was viewed by the plurality of individual members of the household represented by the state space;
• determining, based on a simulation of the generated probability distribution, a plurality of possible viewership scenarios, each of the plurality of possible viewership scenarios corresponding to one of the state spaces;
• selecting one of the plurality of possible viewership scenarios;
• and
• generating a report that identifies, for the selected viewership scenario and for each of the individual members of the household, a Boolean output indicating whether or not the particular portion of the content was viewed by the individual member of the household.

A non-transitory computer-readable storage medium comprising computer-executable instructions which, when executed by a device, cause the device to perform operations comprising:

• accessing household member data that identifies a plurality of individual members of a household;
• accessing information that identifies, for each of the plurality of individual members of the household, a probability that a particular portion of content was viewed by that individual member of the household;
• generating a plurality of state spaces, each of the plurality of state spaces comprising an indication of whether or not the particular portion of the content was viewed by each of the plurality of individual members of the household;
• generating a probability distribution that represents, for each of the plurality of state spaces, a probability that the particular portion of the content was viewed by the plurality of individual members of the household represented by the state space;
• determining, based on a simulation of the generated probability distribution, a plurality of possible viewership scenarios, each of the plurality of possible viewership scenarios corresponding to one of the state spaces;
• selecting one of the plurality of possible viewership scenarios;
• and
• generating a report that identifies, for the selected viewership scenario and for each of the individual members of the household, a Boolean output indicating whether or not the particular portion of the content was viewed by the individual member of the household.