Methods and systems are proposed herein to address the inefficiencies in the recommendation schemes available. More specifically, the embodiments disclosed herein provide a new recommendation scheme, whereby a user enters various criteria for what he/she would like to be recommended. For example, the system may receive a user preference for content recommendations from a user. The system may retrieve a user profile for the user. The system may compare the user preference to the user profile to determine a criterion for content recommendations for the user. The system may receive a content attribute for content provided by a content provider. The system may match the criterion to the content attribute. The system may, in response to matching the criterion to the content attribute, generate for display a recommendation to the user for the content.

Systems and methods for generating a content item based on a difference between a user confidence score and a confidence score are disclosed. For example, a system generates for output a first content item. While the first content item is being outputted, the system receives user data via sensors of a device. The system determines a user confidence score based on the user data and metadata of the first content item. The user confidence score indicates a user's perceived probability of an event occurring in the future. The system calculates a prediction score which estimates the likelihood of the event occurring in the future. In response to determining that the difference between the user confidence score and the prediction score exceeds a threshold, the system selects a second content item related to the event and generates for output a recommendation comprising an identifier of the second content item.

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.

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 first device includes one or more processors and memory storing one or more programs configured to be executed by the one or more processors. The one or more programs include instructions for receiving, from a second device, audio mix information for a first audio item and receiving, from the second device, an indication that the first audio item is to be mixed with a second audio item distinct from the first audio item. In response to the indication, the one or more programs include instructions for transmitting to the second device an audio stream including the first audio item and the second audio item mixed in accordance with the audio mix information.

In some embodiments, a method receives an supplemental content placement and a context associated with a request for supplemental content to be displayed for the supplemental content placement. A first value is generated based on the context using a prediction network for a platform. The method determines probabilities for a plurality of types of request actions based on the context. Then, a threshold for the supplemental content placement is calculated based on the first value and the probabilities for the plurality of types of request actions. The method submits the threshold to a platform in a request for the platform to submit a second value for the supplemental content placement.

Information about and access to available third party content are provided via a primary service provider programming guide. A primary service provider may allow its customers/subscribers to access third party content through the systems of the primary service provider upon selection of a given third party content item from the primary service provider programming guide. The third party content may be provided as a full screen overlay over content presently being displayed and viewed from the primary service provider, or the third party content may be provided via a picture-in-picture inset either on the full screen or inside the displayed programming guide. Third party content offered via the primary service provider programming guide may be based on a recommendation of content in view of preferences and profile information for the customer/subscriber.

Media content search results ranked by popularity is described. In embodiment(s), a search request for television media content can be initiated by a viewer, and television media content that is relevant to the search request can be identified. The relevant television media content can then be ranked based on a popularity rating and the relevant television media content can be displayed in an ordered list that is ordered by popularity rankings.

Systems and methods for generating and displaying groupings of content recommendations using personas are provided. The system determines content for each of the plurality of personas. The determined content for each of the plurality of personas comprises content that shares a common genre or theme for each persona. The system populates each of the plurality of personas using the determined content for each of the plurality of personas. The system then causes display of at least some of the plurality of personas on a viewing device of a user. The at least some of the plurality of personas is selected for the user based on device data corresponding to the user, whereby the device data indicates user preferences and interactions with previous content.

A system for collecting data from different sources is described. In one example embodiment, the system obtains content-related data from a plurality of source computer systems, automatically identifies, based on the content-related data, content items having respective popularity values greater than a predetermined threshold value as popular content items, and automatically generates a list of popular content items based on the popular content items.