Systems and methods for determining, based on recommendations provided by users that have consumed a media asset, which consumption options may be configured on a media device such that when configured enhance the user viewing experience for a specific media asset. The method includes accessing comments posted by other users that have consumed the media asset. The comments are analyzed to determine a consumption option recommendation. If the number of comments meet a threshold value, then the system either automatically configures the media device or configures the media device upon user approval with the recommended consumption option. The recommendation to configure a consumption option on the media device is made only if the recommendation is supported by the media device. The system also detects through audio and image analysis which users are consuming the media asset and accordingly configures the consumption options to their preferences.

Systems and methods for generating and presenting content recommendations to new users during or immediately after the onboarding process, before any history of the new user's viewed content is available. A machine learning or other model may be trained to determine clusters of content genre values corresponding to genres of content watched by viewers. Clusters are thus associated with popular groupings of content genres viewed by many users. Clusters representing popular groupings of content genres may be selected for new users, and content corresponding to the selected clusters may be recommended to the new users as part of their onboarding process. A sufficient amount of content may be selected to fully populate any content recommendation portion of a new user onboarding page.

Various systems and methods for providing crowd-sourced media playback adjustment are provided herein. A media playback system for adjusting media playback includes a user profile manager to access a user profile database to obtain a user profile associated with a user of the media playback system, the media playback system to present a media presentation; a media processor to analyze the media presentation to obtain metadata embedded in the media presentation; a transceiver to receive a media enhancement command at the media playback system; a multimedia compiler communicatively coupled to the transceiver, to alter the media presentation in response to the media enhancement command, to produce an altered presentation of the media presentation, the alteration based on the media enhancement command, the metadata, and the user profile; and a display communicatively coupled to the multimedia compiler, to present the altered presentation to the user on the display.

A system that incorporates the subject disclosure may perform operations, for example, including determining a first correlation value between a behavior of a first audience member and a subject matter being presented at a display processor, wherein the subject matter being presented at the display is observable by the first audience member. A second correlation value is determined between the behavior of the first audience member and a characteristic of an environment in a vicinity of the display and the first audience member. Responsive to the second correlation value exceeding the first correlation value, a determination is made as to whether a present channel selection resulting from user input initiated by the first audience member is responsive to the characteristic of the environment influencing the audience member more than the subject matter being presented at the display. Other embodiments are disclosed.

An operation method of an image display device used by users according to an embodiment of the present invention comprises the steps of: receiving user data of a user and user data of at least one user group; collecting viewing history information of the user and viewing history information of the at least one user group; extracting a plurality of user viewing patterns using the user data and the viewing history information; and providing a referral program corresponding to a user viewing pattern of a highest priority on a basis of priorities of the extracted user viewing patterns, wherein the user group includes at least two users among the plurality of users.

A system and method for the assignment of person-level viewership. The system receives viewership information describing the viewing of video content at a household. The system additionally receives demographic information for that household, including the numbers of persons associated with the household. For each combination of viewers, the system calculates the probability that the viewers viewed the content based on the demographic attributes of those viewers and the probabilities that individuals sharing those attributes would view the content. The system then attributes the viewing information to one or more persons from the household based on the calculated probabilities. The system additionally updates the probabilities that individuals having different demographic attributes would view the content based on the selection of persons.

An example to predict demographics for impressions includes a prediction manager to: determine that first demographic data corresponding to a first database proprietor subscriber does not match second demographic data corresponding to a media delivery device, both the first and second demographic data corresponding to an impression; obtain third demographic data corresponding to an Internet protocol address, the third demographic data obtained from a second database proprietor; and generate matched demographic data based on comparing the third demographic data to the first demographic data; and a modeler to generate a prediction model based on the matched demographic data, the prediction model to predict fourth demographic data for the impression.

Embodiments related to the use of feedback to adapt digital video recording are disclosed. For example, one disclosed embodiment provides, on a computing device, a method of adapting an identification and scheduling of video items for recording based on usage. The method comprises detecting a trigger to perform a series update, and determining one or more video items to record as a part of a series by providing input to a series update module that returns candidate video items for inclusion in the series. The method further comprises scheduling zero or more of the candidate video items for recording, receiving feedback related to video item playback of one or more video items that were recorded based upon the scheduling, and based upon the feedback, adapting the input provided to the series update module for a later series update.

Disclosed herein is an information processing apparatus including an evaluation information extraction section configured to extract evaluation information including an object targeted to be evaluated and an evaluation of the object targeted to be evaluated from a linguistic expression given as information expressed linguistically by a user of interest; an identification section configured to identify whether the evaluation information is of a first type regarding content or of a second type regarding another user; and an evaluation prediction section configured to predict the evaluation by the user of interest regarding the content, based on the evaluation information of the first type given by the user of interest and on the evaluation information given by the other user in the evaluation information of the second type given by the user of interest.

Processes, systems and devices are described to enhance the television or other media viewing experience based upon excitement data that is associated with the program. Excitement data can be used to identify the most exciting portions of media programs, therefore allowing for improved identification of programs or portions of programs for viewing, streaming, recording or other purposes.