Methods, apparatus, and articles of manufacture to correct misattributions of media impressions are disclosed. An example method includes obtaining first demographic-based impressions via a beacon transmitted in response to access to content by a first set of panelists, obtaining, from a database proprietor, second demographic-based impressions of the content on a second set of persons, forming a pseudo-inverse matrix determined based in part on the first impressions, and having a truncated value and a damped value to form third demographic-based impressions of the content on the second set of persons based on the second impressions, and computing at least partially corrected demographic-based impressions values by multiplying a vector of database proprietor impression data by the pseudo-inverse matrix.

A method and system for planning and running video-on-demand (VOD) advertising includes a planner for planning advertising campaigns and an ad selector for running selected advertisements from selected ones of the campaigns. The campaigns are associated with household demographic classifications, video content category categories, household geographic locations, and/or video viewing times. In response to a viewer requesting a video, the selector selects the campaigns corresponding to the demographic classification associated with the viewer, the content category of the requested video, the geographic location associated with the viewer, and/or the viewing time at which the requested video is viewed. The demographic classification is determined by using an identifier of the viewer's set-top-box. The selector may select the campaigns corresponding to the content categories of the requested video. The content categories are determined by using an identifier associated with the requested video.

This document describes, among other things, systems, methods, devices, and other techniques for using information about how long various videos were presented at client devices to determine subsequent video recommendations and search results. In some implementations, a computing can include a modeling apparatus, a front-end server, a request manager, one or more video file storage devices, a video selector, or a combination of some or all of these. The video selector can select video content for a particular digitized video among a plurality of digitized videos to serve to a computing device responsive to a request. The selection can be based at least in part on how long the particular digitized video has been presented at client devices associated with users having characteristics that match one or more characteristics of the user that submitted the request for video content, as indicated by the modeling apparatus.

A method of identifying media content presented on a display device includes determining a selected input source providing a video signal to the display device, and then selecting a first set of content identification rules when it is determined that the selected input source is a first input source, and selecting a second set of content identification rules when it is determined that the selected input source is a second input source. The method further comprises applying the selected first set or second set of content identification rules to the video signal in order to generate content identification data for the media content presented on the display device. Application of the content identification rules includes waiting for a trigger event and applying an algorithm to one or more frames of the video signal following the trigger event.

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform probabilistic modeling for anonymized data integration and measurement of sparse and weakly-labeled datasets are disclosed. An apparatus includes a training controller to train a neural network to produce a trained neural network to output model parameters of a probability model, a model evaluator to execute the trained neural network on input data specifying a time of day, a media source, and at least one feature different from the time of day and the media source to determine one or more first model parameters of the probability model, and a ratings metric generator to evaluate the probability model based on input census data to determine a ratings metric corresponding to the time of day, the media source, and the at least one feature, the probability model configured with the one or more first model parameters.

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.

Systems, methods and articles for optimizing the clearance of content, such as advertisements. The systems disclosed herein provide a greater chance that offers to buy advertisement placement opportunities from media providers are accepted by the media providers. This is achieved by matching advertisements to advertisement placement opportunities which match buyer goals and provider goals, and by using historical data related to advertisements that the seller has cleared. The system may optimize clearance for multiple buyers which are competing for the same advertisement placement opportunities at the same time.

A video-on-demand server, having a plurality of audiovisual assets stored in association therewith, and an application server module, are interconnected with a first group of consumer premises equipment (CPE) associated with a first group of subscribers and a second group of CPE associated with a second (different) group of subscribers, via a video content network. The application server module, the first group of CPE, and the second group of CPE are cooperatively configured to prepare a first video-on-demand catalog comprising a first group of the audiovisual assets and a second video-on-demand catalog comprising a second (different) group of the audiovisual assets. The application server module, the first group of CPE, and the second group of CPE are further cooperatively configured to make the first video-on-demand catalog available to the first group of subscribers and to make the second video-on-demand catalog available to the second group of subscribers.

An example apparatus to monitor media that is presented via a mobile device includes: an application monitor to determine when media presentation software is being executed by the mobile device; and a metering information collector to collect at least one of a signature or a code of the media presented by the media presentation software based on the media presentation software being executed by the mobile device.

Methods, systems, and computer readable media can be operable to facilitate the intercept and manipulation of content requested by a client device. The methods, systems, and apparatuses described herein enable the interception and redirection of packets based upon a set of rules. Intercepted packets may be redirected away from an origin server and may be forwarded to a splicing device. The splicing device may establish a session with a corresponding origin server, and retrieve content that is requested by the intercepted packet. In embodiments, the splicing device may identify alternate content that is associated with the intercepted packet and/or content that is further associated with a device or subscriber associated with the packet. One or more segments of the requested content, or the entirety of the requested content may be replaced with the alternate content, and the modified content may be output to the client device requesting the content.