Abstract:
A computer system for determining TV viewership information for one or more TV panelists is provided, the computer system having memory to store programs and one or more processors for executing the one or more programs. The programs include instructions for: receiving TV broadcast information from a TV metering device, wherein the TV broadcast information identifies a current status of a TV in a household and an associated timestamp; receiving TV panelist status information from a first login/logout device that is different from the TV metering device, wherein the TV panelist status information identifies a viewership status of the TV panelist and an associated timestamp; and correlating the TV broadcast information with the TV panelist status information in accordance with their respective timestamps to determine a relationship between the TV panelist and a respective TV program currently broadcasted by the TV in the household.
Abstract:
The systems and methods discussed herein are directed to presence detection of portable devices of audience measurement panel members, and include a first audience measurement device in proximity to a media device, and a second audience measurement device in the form of a remote control for controlling the media device. The second audience measurement device may receive broadcast identification codes from the portable device of a panel member, and may transmit indicators of received signal strength to the first audience measurement device. The first audience measurement device may similar measure received broadcast signal strength from the portable device, and compare the local measurement and remote measurement to thresholds to determine whether the panel member's portable device is likely in proximity, and thus that the panel member is likely consuming media from the media device.
Abstract:
The systems and methods discussed herein are directed to presence detection of portable devices of audience measurement panel members, and include a first audience measurement device in proximity to a media device, and a second audience measurement device in the form of a remote control for controlling the media device. The second audience measurement device may receive broadcast identification codes from the portable device of a panel member, and may transmit indicators of received signal strength to the first audience measurement device. The first audience measurement device may similar measure received broadcast signal strength from the portable device, and compare the local measurement and remote measurement to thresholds to determine whether the panel member's portable device is likely in proximity, and thus that the panel member is likely consuming media from the media device.
Abstract:
A method for associating a web event with a member of a group of users is implemented at a first computing device. The method includes: receiving a data access request from a second computing device; determining whether the second computing device provides a user login service; if so, causing the second computing device to render the user login service so that the user can provide an instruction of whether or not to associate the data access request with the user of the second computing device; if not, identifying a third computing device that is physically proximate the second computing device; and causing the third computing device to output an alert signal prompting the user of the second computing device to respond; and in response to the user's response through the third computing device, generating a data record to associate the data access request with the user of the second computing device.
Abstract:
A method, executed by a processor, for estimating media metrics from large population data includes formatting and storing panel data, the panel data comprising observed viewing data of a plurality of individual panelists and demographic data for the plurality of panelists, the panel being drawn from a large population; accessing the large population data, the large population data comprising household-level viewing data and household level demographics; training a model to estimate viewing audience size based on the observed panel data; estimating, using the trained model, audience size for each household in the large population data; estimating a viewing score for each individual viewer in a plurality of households in the large population data; and combining the estimates of audience size and viewing score to produce probabilities that each of the viewers in the household viewed a specific media event.
Abstract:
A method for providing efficient and accurate estimates of TV viewership ratings through a distributed computer system that includes multiple computers is disclosed. The method includes: receiving a query from a client at the distributed computer system; dynamically selecting one or more computers according to a predefined sharding function; at each of the selected computers, determining a count of qualified event records that satisfy the query; aggregating the respective counts of qualified event records determined by the selected computers; statistically projecting the aggregated count of qualified event records into an estimated total count of qualified event records on the distributed computer system; and returning the estimated total count of qualified event records to the requesting client.
Abstract:
A method for associating a web event with a member of a group of users is implemented at a first computing device. The method includes: receiving a data access request from a second computing device; determining whether the user has previously provided personal information and authorization to the first computing device through the second computing device; if the user's personal information and authorization are found: generating a record for the data access request; if the user's personal information is found but the user's authorization is not found: generating a record for the data access request; and if neither of the user's personal information and authorization is found: identifying one or more user identifiers that are associated with the second computing device; and returning personal information associated with the one or more user identifiers to the second computing device.
Abstract:
A system and methods for protecting privacy via a gateway are provided. The system includes a data store comprising a computer readable medium storing a program of instructions for performing the protection of privacy via the gateway; a processor that executes the program of instructions; an event detection unit to detect an event behind the gateway; a correlation unit to detect a source associated with the detected event; a semi-stable identification unit to assign a semi-stable identification for the associated source with the detected event; a vector assigning unit to assign a vector to data associated with the semi-stable identification, the vector being related to the source independent any personal identification information (PII); and a communication unit to transmit the vector to instigate an action.
Abstract:
A method, executed by a processor, is used to determine presence of a viewer at a media device. The method includes receiving viewer biometric data captured by a biometric capture device associated with the media device; determining a category of the viewer based on the captured viewer biometric data; comparing the captured viewer biometric data to a reference to determine a possible identity of the viewer, by: determining a presence probability for the viewer based on a match between the biometric data and the reference, and determining a confidence level for the probability; and when the probability and confidence level equal or exceed a threshold, determining the viewer is present at the media device.
Abstract:
A method for conducting a media consumption study, includes at a processor of a position marker placed in a study site in a vicinity of a fixed media device; receiving a signal broadcast from a personal measurement device; determining signal information of the received broadcast signal, the signal information including identification information of the personal measurement device, and one or more signal characteristics; comparing the one or more signal characteristics to threshold values; and based on the comparison, determining the personal measurement device is in proximity to the fixed media device.