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:
A TV audience survey system for determining the TV viewing activities of a plurality of individuals in a household includes a master device and multiple tags, each tag assigned to an individual. After an individual logs into the system and starts watching the TV, the master device communicates with the corresponding tag repeatedly to accumulate data representing the individual's TV viewing activities. Such data can be used to determine when the individual stops watching the TV for an extended period of time without logging out of the system and when the household member remains watching the TV after logging or being logged out of the system. The master device then reports the accumulated data to a remote server, which uses the data to determine whether the individual complies with the logging protocol defined by the TV audience survey system and update the TV viewership data associated with this household.
Abstract:
An audience measurement or personalized recommendation system may be actively trained for each panel member for a training period, during which the presence of each member is recorded while content is displayed. Panel members may carry or wear portable devices with wireless transmitters which may be detected by the measurement system. For example, each panel member may wear a wristband including a wireless transmitter broadcasting an identification code, and a measurement device may include a wireless receiver to receive broadcast identification codes and determine that the corresponding one or more panel members are present during display of content. An inference engine may create personalized profiles of each panel participant during the training period. After the training period, panel participants may stop carrying or wearing the devices, and the inference engine may determine, based on the profiles, which participants are likely present when content is being viewed.
Abstract:
A processor-implemented method meters IP video streams. The processor implements a meter. The method includes detecting, by the processor, a video watch page; harvesting, by the processor, data from the video watch page; storing, by the processor, the harvested data as current page data; detecting, by the processor, a video play button operation indicating a video playing; and inferring, by the processor, the video playing correlates to a video referenced in the current page data.
Abstract:
An audience measurement or personalized recommendation system may be actively trained for each panel member for a training period, during which the presence of each member is recorded while content is displayed. Panel members may carry or wear portable devices with wireless transmitters which may be detected by the measurement system. For example, each panel member may wear a wristband including a wireless transmitter broadcasting an identification code, and a measurement device may include a wireless receiver to receive broadcast identification codes and determine that the corresponding one or more panel members are present during display of content. An inference engine may create personalized profiles of each panel participant during the training period. After the training period, panel participants may stop carrying or wearing the devices, and the inference engine may determine, based on the profiles, which participants are likely present when content is being viewed.
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.
Abstract:
A method for remotely recording Web usage by a panelist includes receiving at a remote processor, a command from a local client to display a Web page; identifying the local client and the panelist operating the local client; accessing the Web page; rendering the Web page in a remote browser; sending an image of the Web page to a local browser of the local client; and recording Web usage metrics associated with a display of the image on the local browser.
Abstract:
A method for acquiring and processing product purchase data for purchase of a product includes defining a product class encompassing the product; designating sub-groups of a panel including an exposed sub-group and a control sub-group and a time period of a product purchase study, the exposed sub-group comprising panelists provided with first advertisements related to the product, the control sub-group provided with second advertisements not including the first advertisements; receiving, by the processor, first product purchase data for the product and first advertisements watched data from panelists of the exposed sub-group for items of the product class; performing, by the processor, a first correlation the first product purchase data and the first advertisements watched data to determine an existence of a connection between watching the first advertisements and purchasing the product; receiving, by the processor, second product purchase data for the product from the control-subgroup; and performing, by the processor, a second correlation of the second product purchase data and the first correlation results.
Abstract:
A method, implemented by a processor, for combining multiple data sources in a product purchase study includes acquiring, by a processor, first product purchase data for a product from a first data source, the first product purchase data uniquely identifying the product; sending, by the processor, the first product purchase data to a remote server; receiving, by the processor, a signal from the remote server based on the first product purchase data, the signal comprising a request for additional product purchase data; acquiring by the processor in response to the request, second product purchase data from a second source independent of the first source to the remote server; and sending the second product purchase data to the remote server.
Abstract:
A system and method for correlating electronic mail (email) with media monitoring is provided. The system includes a data store with a computer readable medium storing a program of instructions for the correlation of email with media monitoring; a processor that executes the program of instructions; an email retrieval unit to retrieve a plurality of emails; an email analyzer unit to analyze the plurality of emails to determine which of the plurality of emails are a receipt; an email extracting unit to extract relevant data from the plurality of emails that area analyzed as a receipt; and a correlation detection unit to determine if the extracted relevant data corresponds to any data associated with the media monitoring.