Charging systems and associated methods are disclosed that provide interim billing for a session in an IMS network. The charging system includes a charging data system that receives accounting messages from network elements serving the session in the IMS network, and generates partial CDRs for each network element based on the accounting messages. The charging data system also sets an aggregation/correlation timer. Responsive to an expiration of the aggregation/correlation timer, the charging data system aggregates the partial CDRs for each network element to generate an aggregated CDR for each network element. The charging system further includes a charging gateway system that, in further response to the expiration of the aggregation/correlation timer, correlates the aggregated CDRs to generate an interim consolidated CDR for the session, and transmits the interim consolidated CDR to a billing system. The billing system may then provide interim billing for the session based on the interim consolidated CDR.

A system, method, and computer program product are provided for rating network transmissions based on user requested data. In use, a transmission of data over a network is identified, where the data includes user requested data and additional data. Additionally, a size of the user requested data is determined. Furthermore, the transmission of the user requested data is rated based on the size of the user requested data. The transmission of additional data may be charged to third parties such as advertisers.

Embodiments of this application disclose a charging method and a related product. A charging function CHF apparatus receives a first charging request sent by a charging trigger function CTF apparatus, where the first charging request carries event charging information. Then, the CHF apparatus determines a first event charging processing mode based on the event charging information, and processes the first charging request according to the first event charging processing mode. According to the method, the CHF apparatus may determine the first event charging processing mode based on the first charging request, and perform event charging processing. Therefore, charging can be accurately and efficiently performed on an event charging service.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

A non-transitory computer-readable storage medium storing one or more machine-executable instructions that, when executed by one or more processors, cause the one or more processors to: determine whether a traffic flow of a wireless end-user device is associated with a first service activity, the traffic flow comprising one or more attempted or successful communications over a wireless access network; if it is determined that the traffic flow is associated with the first service activity, create a first data record, the first data record identifying the first service activity; if it is determined that the traffic flow is not associated with the first service activity, determine whether the traffic flow is associated with a second service activity; and if it is determined that the traffic flow is associated with the second service activity, create a second data record, the second data record identifying the second service activity.

Device assisted CDR creation, aggregation, mediation and billing is provided. In some embodiments, device assisted CDR creation, aggregation, mediation and billing for a wireless network includes collecting device generated service usage information for one or more devices in wireless communication on the wireless network; and providing the device generated service usage information in a syntax (e.g., a device assisted charging data record (CDR)) and a communication protocol (e.g., 3GPP, 3GPP2, or other communication protocols) that can be used by other network devices to augment or replace network generated service usage information for the one or more devices in wireless communication on the wireless network.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Systems and methods are described for managing services of a computing device over a mobile network where requests for managed or unmanaged services are translated to corresponding IP addresses sent to the computing device and corresponding requests sent to the translated IP addresses are either permitted, rated, quality controlled or secured if the computing device has a valid data plan or is otherwise permissioned for using the mobile network, are denied if filtered and if the computing device does not have a valid data plan or is not otherwise permissioned and the request corresponds to the first address, and are permitted, rated, quality controlled or not secured even if the computing device does not have a valid data plan or is not otherwise permissioned if the request corresponds to the second address.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

Provided are a method and apparatus for providing a big data analysis service, and a computer readable storage medium. The method for providing a big data analysis service includes: generating, by network data analytics, big data information according to network operation and maintenance data, and sending the big data information to an application through a network exposure function.