In one aspect, an example method involves a computing device accessing first data representing a program schedule of a media program; accessing second data representing closed-captioning text of the media program; making a determination that first text of the program schedule has at least a threshold extent of similarity with second text of the closed-captioning text, where a portion of the media program was recorded proximate a time when a portion of the second data representing the second text of the closed-captioning text was generated; using the first text of the program schedule as a basis to select a portion of the program schedule; and responsive to at least the determination, storing third data indicative of a correlation between the selected portion of the program schedule and the recorded portion of the media program.

Systems and methods are disclosed for restricting access to content elements with content ratings. In one method, the content distributor can receive a request from a device to access a set of content elements. The content distributor can then identify at least a content descriptor and a content rating for each content element within the set of content elements, identify a range within the content ratings, and identify content elements with content ratings that are within the range. The content distributor can transmit at least the content descriptors for content elements having content ratings that are within the range to the device for display on the device. This permits a device user to access the content elements by content descriptor. In this method, at least some content descriptors for content elements having content ratings that are outside of the range are not transmitted to the device.

A system that incorporates teachings of the present disclosure may include, for example, a processor that causes a STB to present an avatar. The processor can receive from the STB a response of the user, detect from the response a change in an emotional state of the user, adapt a search for media content according to the change in the emotional state of the user, and adapt a portion of the characteristics of the avatar relating to emotional feedback according to the change in the emotional state of the user. The processor can cause the STB to present the adapted avatar presenting content from a media content source identified from the adapted search for media content. Other embodiments are disclosed.

In certain embodiments, training of a neural network or other prediction model may be facilitated via live stream concept association. In some embodiments, a live video stream may be loaded on a user interface for presentation to a user. A user selection related to a frame of the live video stream may be received via the user interface during the presentation of the live video stream on the user interface, where the user selection indicates a presence of a concept in the frame of the live video stream. In response to the user selection related to the frame, an association of at least a portion of the frame of the live video stream and the concept may be generated, and the neural network or other prediction model may be trained based on the association of at least the portion of the frame with the concept.

There is provided a system comprising a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive first viewing data for a media content including a first total viewing time of the media content on a first viewing platform, receive a total possible number of viewers and a first audience composition percentage of a first audience viewing the media content on the first viewing platform, determine a first ratio by dividing the first total viewing time of the media content on the first viewing platform by a duration of the media content for the first viewing platform, and calculate a first platform rating for the media content by multiplying the first ratio by the first audience composition percentage and a first co-viewing factor and dividing by the total possible number of viewers.

The disclosure provides a method and an apparatus for recommending a live streaming room, and a storage medium. The method is implemented as follows. Social information of a target user account is acquired in response to detecting a predetermined operation from the target user account. A target live streaming room is selected based on interaction data of each associated user account indicated by the social information. Information on the target live streaming room is displayed to the target user account.

The system generates a display providing storyline information. The display includes, for example, a plurality of storyline identifiers, a plurality of time period indicators, and a plurality of episode indicators. Episode indicators indicate an episode having a segment of the storyline corresponding to a storyline identifier. The system may receive a user input selecting a storyline, or further filtering an existing storyline to tailor the displayed information more closely to a storyline of interest. The system updates the display to each reflect segments within episodes corresponding to the selected storyline identifier. The display may include a grid, with the storyline identifiers arranged along one axis and the time period indicators arranged along a different axis. The system may process metadata to determine storylines, and filter what information is displayed based on user input, the metadata, or both. Storylines include, for example, characters, locations, plots, teams, players, or other attributes.

Methods and apparatus to generate audience measurement data from population sample data having incomplete demographic classifications are disclosed. An example method includes detecting that a number of impressions a time segment of a video occurred based on messages; detecting that no impressions for the time segment of the video were detected by the database proprietor; determining respective percentages of exposures of the video that are attributable to corresponding ones of multiple demographic groups, determining the respective percentages being based on the first demographic information provided by the database proprietor for exposures of other time segments of the video; attributing respective portions of the number of impressions to the demographic groups based on the respective percentages to determine imputed numbers of impressions; generating adjusted numbers of impressions based on the imputed numbers of impressions; and determining ratings information for the video using the adjusted numbers of impressions.

A system and method to dynamically analyze digital media and select multimedia assets or items to render with correlated IP-connected media and apps. Hierarchical Taxonomy, Engagement-based and Neural-based asset matching is rendered with rule-based and Diminishing Perspective decision-making. A user can listen, view and interact with the correlated and rendered material using an input device native to the computing device being used to access the IP-connected media. Embodiments extract features from the digital media. The extracted features are semantically analyzed for an understanding of characteristics associated with the respective features. Topics are extracted from the digital media based on the characteristics. Stored assets are correlated to the extracted topics to select an asset based on characteristics of the extracted topics correlating with the selected asset. The selected asset is rendered with the digital media.

A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.