Abstract:
A computer-implemented method for collecting and managing TV viewership data from multiple TV metering data providers is disclosed. The method includes: receiving an event log file at a distributed computer system that includes multiple computers; dynamically selecting one or more computers according to a predefined sharding function; at each of the selected computers: allocating a set of compressed event records, which corresponds to a subset of the event log file, at predetermined locations within the memory of the computer; and in accordance with a predefined schedule, replicating the compressed event records from a respective one of the selected computers to one or more other computers of the distributed system such that there are at least two replicas of any event record on at least two computers of the distributed computer system.
Abstract:
Television reporting records are accessed and processed to generate frequency specific reach values and device frequencies for creatives (e.g., television advertisements). The device frequencies indicating the number of times a creative was presented by use of a particular viewing device. The frequency specific reach values indicating the number of unique viewing devices that were used to present the creative a specified number of times. Estimating frequency specific reach values and device frequencies for a creative for a viewing population. The estimated frequency specific reach values and device frequencies for the viewing population are based on known viewing pattern data for multiple creative airings from a sample of the viewing population (e.g., a subset of the viewing population) and estimated viewing pattern data for the airings for the viewing population.
Abstract:
Reporting data related to content processing devices, e.g., television devices, are processed to identify channel tunes and corresponding tune times of the content processing devices. Automatically generated channel tunes based on the corresponding tune times are identified. Content items that are aired during a time period defined by the corresponding tune times can be adjusted.
Abstract:
Methods, systems, and apparatus for analyzing behavioral data. In one aspect, a method includes receiving a request for television reporting sample data from a client device. The request includes filtering criteria. The television reporting data comprises channel tune event data and viewership data. In response to receiving the request, processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria; processing the filtered data to generate filtered sample data; and associating the filtered sample data with channel tune event data and viewership data to generate the television reporting sample data. The method also includes providing the television reporting sample data to the client device and receiving processing parameters from the client device, and, in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing customized television advertisements. In one aspect, television advertising templates are used for generating customized television advertisements. The television advertisement templates include targeting criteria specifying targeting conditions for the television advertising template, which are conditions for selecting the television advertisement template for an advertisement availability, and content selection criteria specifying availability content associated with an advertisement availability for use in selecting variable advertisement content elements for inclusion in a customized television advertisement generated from the television advertising template. The variable advertisement content elements can include video elements, audio elements, and text elements.
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:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing television advertisements while a viewing device is tuning to a channel. In one aspect, a viewing device, in response to receiving a signal to tune to a channel, selects advertisement data for an advertisement from a data storage device storing advertisement data for one or more advertisements, and generates a video signal when tuning to the channel, the video signal generated only for the duration that the viewing device is tuning to the channel and for displaying on the television device, and the video signal causing the advertisement to be displayed on the television device.
Abstract:
Set top box logs are received from a television provider and processed to compensate for broadcast latency and generate normalized log data, e.g., log data that are indexed to a relative time. Channel tunes and the channel tune times of the normalized log data can be compared to expected air times of television advertisements on channels, and an impression values, e.g., projected viewers, can be generated for each television advertisement.
Abstract:
A computer-implemented method for collecting and managing TV viewership data from multiple TV metering data providers is disclosed. The method includes: receiving an event log file at a distributed computer system that includes multiple computers; dynamically selecting one or more computers according to a predefined sharding function; at each of the selected computers: allocating a set of compressed event records, which corresponds to a subset of the event log file, at predetermined locations within the memory of the computer; and in accordance with a predefined schedule, replicating the compressed event records from a respective one of the selected computers to one or more other computers of the distributed system such that there are at least two replicas of any event record on at least two computers of the distributed computer system.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing behavioral data. In one aspect, a method includes receiving a request for television reporting sample data from a client device. The request includes filtering criteria. The television reporting data comprises channel tune event data and viewership data. In response to receiving the request, processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria; processing the filtered data to generate filtered sample data; and associating the filtered sample data with channel tune event data and viewership data to generate the television reporting sample data. The method also includes providing the television reporting sample data to the client device and receiving processing parameters from the client device, and, in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.