Methods, apparatus, systems to determine a conditional probability based on audience member probability distributions for media audience measurement are disclosed. Disclosed example methods for media audience measurement include determining a first audience probability distribution for a first member of a household and determining a second audience probability distribution for a second member of the household. Disclosed example methods also include calculating probabilities for audience combinations of the first member and the second member of the household based on the first audience probability distribution and the second audience probability distribution. Disclosed example methods further include determining a household audience characteristic probability based on the calculated probabilities of the audience combinations of the household. The household audience characteristic indicates likelihoods of different possible audience compositions of the household for a media event.

In one general aspect, a method can include detecting at least one indicator of user-initiated interaction with a computing device, obtaining data related to a demographic of a user of the computing device, identifying a current state of the computing device, determining that content displayed on a first display device included in the computing device is to be casted to a second display device separate from the computing device based on the at least one indicator of the user-initiated interaction with the computing device, the data related to a demographic of a user of the computing device, and the current state of the computing device, and casting the content displayed on the first display device to the second display device.

Disclosed examples determine a duplicated audience size representative of panelists exposed to television media and digital media; determine a panel duplication reach based on the duplicated audience size and a panelist population; determine a did-not-view reach based on a television audience size, a digital audience size, the duplicated audience size, and the panelist population; obtain an overlap multiplier as a ratio of (1) a product of the panel duplication reach and the did-not-view reach and (2) a product of a television panel reach and a digital panel reach; determine a duplication factor for a media item based on a television audience reach, a digital audience reach, and the overlap multiplier; and determine a total audience for the media item based on the television audience reach, the digital audience reach, and the duplication factor.

Implementations claimed and described herein provide systems and methods for behavior assessment for an individual. In one implementation, user data for the individual is obtained from one or more digital sources. Categorized user data is created by transforming the user data into a platform independent format. The categorized user data is associated with a plurality of content-based bins. One or more behavioral insight categories are determined from the categorized user data. A plurality of behavioral metrics is determined based on the one or more behavioral insight categories and the categorized user data. A personality profile for the individual is generated by converting the plurality of behavioral metrics into one or more scores. A risk assessment for the individual is generated based on the personality profile.

Systems and methods for sorting favorite content sources are provided. A list of favorite content sources arranged in a first order is stored. The favorite content sources in the list are accessed according to the order of the favorite content sources in the list. At a given time, a user request to change a currently accessed content source to one of the favorite content sources in the list is received. In response to receiving the user request, an attribute of content presented on the currently accessed content source at the given time is identified. The favorite content sources in the list are rearranged into a second order based on the identified attribute. The favorite content sources in the list arc accessed according to the second order in response to receiving the user request.

Methods and apparatus to estimate demographics of a household are disclosed. An example method to determine demographics for non-panelist households includes calculating a first demographic constraint average and a second demographic constraint average based on a first demographic distribution of a first tuning event of a household and a second demographic distribution of a second tuning event of the household. The household is a non-panelist household. The example method also includes, based on the first demographic constraint average, determining a first likelihood of the household being associated with a first demographic constraint. The example method also includes, based on the second demographic constraint average, determining a second likelihood of the household being associated with a second demographic constraint. The example method also includes estimating a household characteristic of the household based on the first likelihood and the second likelihood.

Systems and methods are provided herein for scheduling a season recording. A series is provided to a user device, the series having a plurality of sequential seasons, and each season having a plurality of episodes. A request for recording the series is received from the user. In response, a last episode of the series watched by the user is identified. A relevant season of the plurality of seasons is then determined, such that the relevant season precedes another season of the plurality of seasons and includes the last episode watched by the user. Then, episodes of the relevant season that follow the last episode watched by the user are scheduled for recording, such that episodes of a season that precedes the relevant season are not scheduled for recording.

A multi-media presentation system includes an input subsystem operable to collect data including an unassisted data input of a viewer from within a natural, unaided sensing range of the viewer; a storage subsystem with a multiple of storage subsystems operable to store the data including the unassisted data input in a storage subsystem in a manner associated with a preference; and a server subsystem operable to selectively display a multi-media presentation in accordance with the preference.

This application describes methods, systems, and apparatus for allowing a user to easily determine whether the user and/or other user(s) have viewed content. For example, a program guide may display one or more graphics associated with the content (e.g., a movie poster), and in response to determining whether the user has viewed the content, the program guide may include an indication of whether the user has viewed the content. The program guide may include indications associated with multiple users (e.g., different colors, icons, graphics, or text). The program guide may filter the content based on whether the user has viewed the content (e.g., only display content the user has not viewed). A computing device storing the content may manage recording of the content based on whether the user has viewed the content (e.g., delete the recording if the user has viewed the content). A viewing history of the user may be maintained.

Systems and methods are described for selectively sharing audio and video streams amongst electronic eyewear devices. Each electronic eyewear device includes a camera arranged to capture a video stream in an environment of the wearer, a microphone arranged to capture an audio stream in the environment of the wearer, and a display. A processor of each electronic eyewear device executes instructions to establish an always-on session with other electronic eyewear devices and selectively shares an audio stream, a video stream, or both with other electronic eyewear devices in the session. Each electronic eyewear device also generates and receives annotations from other users in the session for display with the selectively shared video stream on the display of the electronic eyewear device that provided the selectively shared video stream. The annotation may include manipulation of an object in the shared video stream or overlay images registered with the shared video stream.