Methods, apparatus, systems, and articles of manufacture are disclosed to generate synthetic respondent level data. Example apparatus disclosed herein include means for generating a synthetic panel corresponding to a duration of time, the means for generating the synthetic panel to: generate a transition matrix corresponding to a first sub-duration of the duration of time and a second sub-duration of the duration of time; generate, based on the transition matrix, a plurality of synthetic panelists and associated viewing data; remove first ones of the synthetic panelists associated with one or more weights that do not satisfy a threshold to generate the synthetic panel corresponding to the duration of time, the synthetic panel representative of audiences of media presented by a plurality of media devices during the duration of time; and generate synthetic respondent level data based on the viewing data associated with remaining second ones of the synthetic panelists.

A media guidance application may monitor a conversation among users, and identify keywords in the conversation, without the use of wakewords. The keywords are used to search for media content that is relevant to the on-going conversation. Accordingly, the media guidance application presents relevant content to the users, during the conversation, to more actively engage the users. A conversation monitoring window may be used to present conversation information as well as relevant content. A listening mode may be used to manage when the media guidance application processes speech from a conversation. The media guidance application may access user profiles for keywords, select content types, select content sources, and determine relevancy of media content, to provide content in context of a conversation.

A request from a user to view a video content item may be received, the requesting user being associated with a set of preferences and a context. A group of similar users may be identified based the set of preferences or the context. A number of promotional video items corresponding to the video content item may be identified. A first subset of the number of promotional video items may be determined based on the set of preferences or the context of the user. A watch time difference may be determined for each promotional video item in the first subset. A second subset may be determined based on the watch time difference associated with each promotional video items. An activity rate associated with the promotional video items in the second subset is determined. A promotional video item of the second subset that satisfies a criterion is provided to the user.

Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes a processor and memory including instructions that, when executed, cause the processor to: determine an initial rating for the media provided in a first geographic area based on return path data (RPD) tuning information obtained from RPD devices in subscriber households in the first geographic area; determine a first panelist rating for the media provided in a second geographic area based on first panel tuning information obtained from first metering devices in a first subset of panelist households in the second geographic area; determine a nonsubscriber calibration factor based on the first panelist rating; and determine a final rating for the media in the first geographic area by modifying the initial rating based on the nonsubscriber calibration factor.

Various arrangements for performing dynamic volume control are provided. Audio characteristics of audio content being output to a user may be identified. Adjustments made to an audio volume setting by the user while the audio content is being output to the user can be monitored. A machine learning model can be trained based on the adjustments made to the audio volume setting by the user that are mapped with the audio characteristics of the audio content. After the machine learning model is trained, the audio volume setting can be adjusted based at least in part on the trained machine learning model analyzing audio content.

Methods, apparatus, systems and articles of manufacture to monitor a media presentation are disclosed. An example method includes in response to receipt of a media identifier, extracting, by executing an instruction with a processor, a timestamp from the received media identifier. A time of receipt of the media identifier is determined. A difference between the time of receipt of the media identifier and the timestamp from the received media identifier is determined. A time shifted viewing code is calculated based on the difference The time shifted viewing code is transmitted to a media monitor that transmitted the media identifier, the time shifted viewing code to be reported when the media monitor reports monitoring information.

Methods, apparatus, systems and articles of manufacture to expand panelist enrollment are disclosed. An example apparatus includes a network communicator to enable the apparatus to communicate with a local area network. A media monitor is to monitor a media presentation of the apparatus and report monitoring data identifying the media presentation to a central facility. A network scanner is to scan the local area network and store an identification of a second device connected to the same local area network as the apparatus. A network information processor is to review the identification of the second device connected to the same local area network as the apparatus, the network information processor to add the identification of the second device to a fingerprint if the second device is commonly connected to the same local area network as the apparatus. A fingerprint reporter is to transmit the fingerprint to the central facility.

Advertisements in broadcast television programming are digitally replaced with different ads prior to viewing. Replacement can occur in time and/or place shifted content, and can be used to promote a particular advertisement that the viewer has not yet seen, thereby improving the reach of the ad without oversaturation. Data reporting by the playback devices is collected in a database of viewed ads. The information in the database can be used to refresh previously-viewed ads, to increase saturation of particular ads, to replace previously-broadcast but no longer relevant ads, or for other purposes as desired.

A method for distributing video content across a network, the method comprising: providing video data to a primary data source, associating control data with the video data, broadcasting the video data with associated control data from the primary data source to one or more user devices across the network, providing a media player on the respective user devices which is operable in response to reading the control data to create auxiliary data locally on the respective user devices while the media player is playing the video data, creating the auxiliary data locally on the respective user devices while the media player is playing the video data locally on the respective user devices. The control data defines one or more elements of the auxiliary data to be created by the media player including the elements of the auxiliary data which are to be retrieved from the primary data source and one or more secondary data sources.

This disclosure can provide a display device and a display method. The display device includes at least one camera configured to capture an environmental scenario image; a display configured to display a user interface; a controller in communicated with the display, configured to receive a command, input by a user, for obtaining a content recommendation resource associated with content currently displayed in the user interface; determine whether an application corresponding to the content currently displayed in the user interface is an application invoking the at least one camera, and if yes, display a first user interface, where the first user interface displays a first image captured by the at least one camera.