In various embodiments, an interactive streaming application plays back a media title via a client device. In operation, while a client device plays back a first chunk of the media title, the interactive streaming application determines a first movement of an internet of things (“IoT”) device. The interactive streaming application then determines, from multiple target states, a target state that is associated with the first movement. Based on the target state, the interactive streaming application determines that a second chunk of the media title should be a next chunk of the media title that is streamed to the client device for playback. The interactive streaming application then causes the second chunk of the media title to be streamed to the client device. Advantageously, the interactive streaming application can automatically personalize the playback of the media title for a user based, at least in part, on movements of the IoT device.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

The present disclosure describes techniques for projecting person-level viewership from household-level tuning events. One example method includes accessing tuning data representing television tuning events associated with particular households; accessing panelist viewing data representing television viewing events associated with panelists; and for at least one tuning event represented by the tuning data: accessing household member data associated with the tuning event; determining a member minutes value associated with each individual member of the particular household for the tuning event; and determining a fractional viewership value for each individual member of the particular household associated with the tuning event.

Methods and apparatus to verify and/or correct media lineup information are disclosed. Disclosed example apparatus include means for determining reference media, the means for determining reference media to identify a plurality of first signatures in a database that matches a plurality of second signatures included in media presentation data representative of media output by a media device in response to a mismatch between the media presentation data and reference data associated with first reference media corresponding to a first station, the plurality of second signatures generated from the media output by the media device; and determine second reference media corresponding to the plurality of first signatures; and means for storing the media presentation data.

An interactive television program guide application is provided that queries a user regarding the user's interest in television programs and suggests television programs to the user based on the user's responses. The interactive television program guide application identifies a television program that is potentially of interest to the user. The interactive television program guide application then queries the user regarding the user's interest using questions that are formulated based on attributes associated with the identified television program. Using the user's responses to the questions, the interactive television program guide application identifies and suggests one or more television programs to the user.

Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example method includes calculating, by executing an instruction with a processor, first viewing probabilities for tuning panelists in a tuning household. The example method also includes calculating, by executing an instruction with the processor, second viewing probabilities for viewing panelists in a plurality of learning households having a same household size as the tuning household. The example method also includes identifying, by executing an instruction with the processor, a matching one of the plurality of learning households based on a difference between the first viewing probabilities and respective ones of the second viewing probabilities.

Techniques are provided for dynamically creating index files for streaming media based on a determined chunking strategy. The chunking strategy can be determined using historical data of any of a variety of factors, such as Quality of Service (QoS) information. By using historical data in this manner, index files can be generated using chunking strategies that can improve these factors over time.

Systems, devices, apparatuses, components, methods, and techniques for saving media content to a context for later playback are provided. An example media-playback device for identifying and playing media content for a user traveling in a vehicle includes a context detecting device, a context-driven playback engine, and a media playback engine. Contexts are established by parameters that can be detected by a media-playback device. Contexts are situations that are defined by one or more locations, times, events, activities, people, and devices. Media content is saved to the contexts for later playback. The contexts are detected by the context detecting device, the associated media content is identified by the context-driven playback engine, and the media content is automatically played through the media playback engine, without additional input required by the user.

Methods and apparatus to generate reference signatures are disclosed. An example method includes collecting a first signature for media being presented to a plurality of households; crediting the media when the first signature matches a reference signature in a reference signature database; in response to determining that the first signature does not match a reference signature in the reference signature database and the first signature does not match an unidentified signature in an unknown signature database, storing the first signature in the unknown signature database; in response to determining that a second signature does not match the reference signature in the reference signature database and the second signature matches the unidentified signature in the unknown signature database, and increasing a count associated with the unidentified signature.