A method for dynamic content filtering includes accessing, by a processing unit, a media content that includes several content portions. The method further includes determining a rating tag associated with each content portion from the media content, and a user profile of a user requesting the media content to be rendered. The user profile contains a permission level for the user. The method further includes filtering the content portions from the media content based on the permission level, wherein, in response to the rating tag of a particular content portion exceeding the permission level in the user profile, filtering out the particular content portion. The method further includes rendering content portions that were not filtered out.

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.

Provided are systems and methods for generating a customized summary of content for a user using a co-relation graph and a user preference. The co-relation graph maps, for each segment of the content, summary information of the segment and a characteristic of the segment. The system identifies, using the co-relation graph, a subset of the segments of the content based on the user preference and the characteristics of the segments. The customized summary of the content is generated based on the summary information for the identified subset of segments. The system may also use a current presentation time of the content to limit which segments are used to generate the summary. The system can also use a priority ranking to exclude summary information from less important segments to keep the summary within a desired size.

The present disclosure relates to an image display apparatus and an operating method thereof. The image display device according to an embodiment of the present disclosure includes a display; a network interface unit that performs communication through a network; and a controller, wherein the controller generates data for a screen output through the display, when a preset user input is received while a first content is output through the display, obtains data, which corresponds to data of the screen, that is related to an object included in the screen, from a first server through the network interface unit, determines at least one first object related to a position corresponding to the user input, among object included in the screen, based on the data that is related to the object, and outputs a user interface (UI) for the at least one first object through the display. Various other embodiments are possible.

A computer implemented method that includes receiving first user usage data and second user usage data indicative of user usage during consumption of a first content and of a second content, respectively. The method includes determining a first user usage pattern for the first content and a second user usage pattern for the second content based on the first user usage data and on the second user usage data, respectively. The method determines potential content overlap between the first content and the second content based on a comparison of the first usage pattern and the second usage pattern and performs an optimization operation based on the potential content overlap.

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.

Systems and methods are presented herein for recording portions of a media asset relevant to recording criteria. A media application receives input indicating the recording criteria and identifying a first keyword. The media application accesses a data structure to identify a first node associated with the first keyword. The data structure includes the first node and a plurality of nodes connected to the first node via a plurality of paths. The media application receiving audio component data for a portion of the media asset extracts a term from the audio component data, and identifies a second node in the data structure that is associated with the extracted term. The media application calculates a path score for the portion of the media asset based on a path size in the data structure between the first node and the second node. When the score is high enough, the portion of the media asset is recorded.

A display device comprising a memory in which a first application corresponding to a first content provision server and a second application corresponding to a second content provision server are stored; a display; and a processor to control, by executing the first application, the display to display a recommendation content list of content of the first content provision server based on a content use history of a user so that the content included in the recommended content list is aligned in a preset alignment. The preset alignment can be the same as an alignment of a recommendation content list of content of the second content provision server to be provided through the second application.

Systems and methods are disclosed herein for a recommendations engine that generates content recommendations using a trained model that is personalized based on the information corresponding to content consumption. The disclosed techniques herein provide a trained model to provide content recommendations. The trained model may have been trained using a predefined set of training data agnostic of a particular user profile. A system receives information corresponding to content consumption. The system may associate the information corresponding to content consumption with a profile. The system generates a personalized model based on the information corresponding to content consumption and on the trained model. The personalized model may be associated with the user profile. The system generates the content recommendations using the personalized model. The system then causes to be provided the content recommendations.

Aspects of the subject disclosure may include, for example, receiving, for a selected channel, a first video; processing the first video for rendering on a display being viewed by a user; selecting from among a plurality of channels a subset of channels for which to pre-fetch data, the selecting being according to predictions that each channel of the subset of channels is more likely to be requested by the user than each channel of the plurality of channels that is not part of the subset; prioritizing the subset of channels such that a first channel of the subset of channels has a priority over a second channel of the subset of channels, the first channel being given the priority based upon a prediction that the first channel is more likely to be requested by the user than the second channel; pre-fetching, for the first channel, first data of a first type and second data of a second type; and pre-fetching, for the second channel, third data of the first type without pre-fetching any data of the second type. Other embodiments are disclosed.