In some implementations, a user device can predictively route media content to a remote playback device based on playback context information obtained by the user device. The playback context can include local playback context information related to the state and/or context of the user device. The playback context can include remote playback context information related to the state and/or context of available remote playback devices. Based on the playback context information obtained by the user device, the user device can generate a predictive score for each available playback device that indicates or predicts the likelihood that the user will want to send media content to the corresponding playback device. The user device can generate and present a graphical user interface that can identify the playback devices having predictive scores over a threshold score. In some instances, the user device can automatically route selected media content to a predicted playback device.

Methods of generating recommendations may include obtaining social network data from one or more network resources. Word relationships may be created between selected words in the social network data to produce relationship data. Advertisement or other asset recommendations may be generated for a target user by analyzing browse information of the target user to identify one or more words. Other words in the relationship data may be identified that are related to the words in the target user's browse information. One or more advertisements may be identified having at least one keyword that corresponds to the other words. At least a portion of these advertisements may be selected from a data repository to provide to the target user.

Methods, systems, and machine-readable media are provided to facilitate content receiver control for particularized output of content items based on intra-content metrics. Observation data, corresponding to indications of detected content receiver operations associated with a content receiver and mapped to a first set of content items, may be processed. A first set of intra-content metrics may be detected. An audiovisual pattern of intra-content metrics may be mapped based on correlating the set of observation data with the first set of intra-content metrics. A second set of content items may be processed to detect a second set of intra-content metrics. A subset of the second set of content items may be selected based on a visual category and/or an audio category of the audiovisual pattern of intra-content metrics. The subset may be specified to cause a content receiver to modify operations to record and/or output content corresponding to the subset.

Systems and methods for analyzing collaborative comments on content to create and/or modify content are disclosed herein. Each of the plurality of comments include modifying the content. Each of the plurality of comments are is analyzed to identify an action associated with each of the plurality of comments, location of the action in the content, and an owner associated with the action. Furthermore, a marker associated with the action at the identified location in the content is added.

Methods and apparatus to estimate demographics of a household are disclosed. An example method to determine demographics for non-panelist households includes calculating a first demographic constraint average and a second demographic constraint average based on a first demographic distribution of a first tuning event of a household and a second demographic distribution of a second tuning event of the household. The household is a non-panelist household. The example method also includes, based on the first demographic constraint average, determining a first likelihood of the household being associated with a first demographic constraint. The example method also includes, based on the second demographic constraint average, determining a second likelihood of the household being associated with a second demographic constraint. The example method also includes estimating a household characteristic of the household based on the first likelihood and the second likelihood.

Systems and associated methods are described for providing content recommendations. The system selects, using a multi-armed bandit solution model, a first plurality of content categories based on a reward score of each content category. The categories are displayed. When a user selects an item from the displayed categories, the system finds all categories that include the selected item, but rewards only the category with the highest score. The system selects, using the multi-armed bandit solution model, the second plurality of content categories based on the updated reward score of each content category. The categories are then displayed. The system may also repeat the steps to refine the multi-armed bandit solution model.

Methods, systems, and apparatuses for securing property are presented. A premise security system may be placed in a learning mode. Changes in position of a security sensor may be detected and used to set a permitted range of motion for the sensor. Further, a plurality of security sensor profiles may be stored, and each profile may identify a different predefined permitted range of motion of a sensor. The addition of a new sensor to a premise may be detected, and a user may be prompted, on a display, to identify a profile to be used to configure the new sensor.

Systems and methods for detecting a conflict between viewing selections of two users before viewing a media asset. In some aspects, the method comprises receiving an audio input through an audio channel, detecting a first utterance from a first user and a second utterance from a second user in the input of the audio channel, parsing the first utterance and the second utterance, analyzing the first utterance and the second utterance to determine context about the first media asset and the second media asset, and presenting a conflict to the users to display on the media asset.

A system and method of providing enhanced content, for example, when a viewer may not match with a program in order to make a viewer comfortable and encourage the viewer to continue to consume the program. The system accesses a viewer profile and accesses content to provide for consumption. The system calculates a match score for the content based on the viewer profile and determines if the match score is below a predetermined threshold. If the match score is lower than the threshold, the system generates an enhanced program from the content based on viewer profile and provides the enhanced program for consumption. Enhanced content may include omitting scenes with violence, modifying dialogue with vulgarities, focusing on scenes with preferred actors or setting, adding external content, and other modifications.

A system and method of providing enhanced content, for example, when a viewer may not match with a program in order to make a viewer comfortable and encourage the viewer to continue to consume the program. The system accesses a viewer profile and accesses content to provide for consumption. The system calculates a match score for the content based on the viewer profile and determines if the match score is below a predetermined threshold. If the match score is lower than the threshold, the system generates an enhanced program from the content based on viewer profile and provides the enhanced program for consumption. Enhanced content may include omitting scenes with violence, modifying dialogue with vulgarities, focusing on scenes with preferred actors or setting, adding external content, and other modifications.