Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: An example apparatus disclosed herein includes at least one memory, instructions, and at least one processor to execute the instructions to: receive first HyperLogLog (HLL) data from a first server of a first database proprietor and second HyperLogLog (HLL) data from a second server of a second database proprietor, the first HLL data including obfuscated first user impression data and the second HLL data including obfuscated second user impression data; generate union HLL data based on the first HLL data from the first database proprietor and the second HLL data from the second database proprietor by performing a union of data sets of the obfuscated first user impression data represented in the first HLL data and the obfuscated second user impression data represented in the second HLL data; and determine a total number of deduplicated unique audience members based on the union HLL data generated by the vector analyzer.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate measures of unique audiences for Internet-based media. An example apparatus disclosed herein includes at least one memory, instructions, and at least one processor.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate measures of unique audiences for Internet-based media. An example apparatus disclosed herein includes at least one memory, instructions, and at least one processor.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate measures of unique audiences for Internet-based media. An example apparatus disclosed herein includes at least one memory, instructions, and at least one processor.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to generate measures of unique audiences for Internet-based media.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes a reporting message receiver to receive a first reporting message from a client device coupled to a residential gateway having an internet protocol (IP) address. An AME ID determiner is to assign an audience measurement entity (AME) identifier to the IP address provided by the received first reporting message. A redirect instructor is to send a redirect instruction to the client device to cause the client device to send a second reporting message to a database proprietor, the redirect instruction to include the AME identifier and the IP address. A DP message reporting receiver is to receive, in response to the sent redirect instruction, a third reporting message from the database proprietor that includes a database proprietor (DP) identifier.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes an impression monitoring system to monitor and log media impressions based on impression requests received via network communications from over the top devices. A linkage database system is to implement the impression monitoring system. A processor in circuit with the impression monitoring system is to: generate Internet protocol (IP) address-to-cookie mappings; associate household identifiers of households with ones of the IP address-to-cookie mappings; and associate ones of the household identifiers to the logged media impressions based on IP addresses associated with the media impressions and based on the household identifiers associated with the ones of the IP address-to-cookie mappings.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Some embodiments described herein relate to a method of defining and/or calculating an accuracy score for untrusted location data. The method can include receiving multiple signals including location data. Some or all of the signals may include untrusted location data. When a signal including location data is received, that location data can be stored, for example in a database. The accuracy score can be defined based on the number of entries in the database matching the received location data. If location data is statistically overrepresented in the database, it may be an indication that the location data has been assigned by an untrusted third party, rather than organically determined by the mobile communication device. Accordingly, a relatively low accuracy score indicating that the location data is synthetic can be defined when received location data matches a location that is statistically overrepresented in the database.

Abstract: Methods and apparatus to associate audience members with over-the-top device media impressions. An example audience measurement apparatus includes an impression monitoring system to monitor and log media impressions based on impression requests received via network communications from over the top devices. A linkage database system is to implement the impression monitoring system. A processor in circuit with the impression monitoring system is to: generate Internet protocol (IP) address-to-cookie mappings; associate household identifiers of households with ones of the IP address-to-cookie mappings; and associate ones of the household identifiers to the logged media impressions based on IP addresses associated with the media impressions and based on the household identifiers associated with the ones of the IP address-to-cookie mappings.

Abstract: Some embodiments described herein relate to a method of defining and/or calculating an accuracy score for untrusted location data. The method can include receiving multiple signals including location data. Some or all of the signals may include untrusted location data. When a signal including location data is received, that location data can be stored, for example in a database. The accuracy score can be defined based on the number of entries in the database matching the received location data. If location data is statistically overrepresented in the database, it may be an indication that the location data has been assigned by an untrusted third party, rather than organically determined by the mobile communication device. Accordingly, a relatively low accuracy score indicating that the location data is synthetic can be defined when received location data matches a location that is statistically overrepresented in the database.

Abstract: An automated voice response system is provided that determines the most likely reason a caller is using the response system and, without any input from the user, provides the user with a predictive message. As such, the average call time for users of the voice response system is decreased. As in one example, the telephone number used to call the voice response system can be utilized to determine if the caller has an account with a service or product associated to the voice response system. The voice response system can then scan to see if there is a problem with the account that the user. Extending this example, a user that is at home waiting since 4 pm for a cable repairman may be presented with the predictive message “your repairman is running 2 hours late and will be at your house at 6 pm” the moment the caller connects to the voice response system.