Abstract: Implementations disclose identifying content appropriate for children algorithmically without human intervention. A method includes identifying, by a processing device, entities corresponding to topics relevant to children, determining, by the processing device, a children's affinity score for each of the identified entities, and selecting, by the processing device, content based on the children's affinity score for the identified entities corresponding to the content.

Abstract: A system for identifying and/or recommending relevant media content is provided. The system includes a relevancy component, a classification component and a notification component. The relevancy component determines a topic or an event related to media content and associates the media content with a group of media content based on the topic or the event. The classification component assigns a classifier value to the media content based on data associated with the media content and the group of media content. The notification component generates a notification message associated with the media content for a user based on the classifier value and a temporal-based relevancy value generated as a function of user context.

Abstract: Implementations disclose identifying content appropriate for children. A method includes selecting a list of candidate channels from a plurality of channels based on an automatically generated rating of each of the plurality of channels, filtering the list of candidate channels based on feedback received from a first group of reviewers with respect to appropriateness of content of each candidate channel for children, selecting a list of candidate videos based on an automatically generated rating of each video from every channel in the filtered list of candidate channels, and upon receiving, via a graphical user interface, a confirmation that a candidate video from the list of candidate videos is appropriate for children, setting a confirmation indicator of the candidate video to enable presentation of the candidate video to children.

Abstract: A system for identifying and/or recommending relevant media content is provided. The system includes a relevancy component, a classification component and a notification component. The relevancy component determines a topic or an event related to media content and associates the media content with a group of media content based on the topic or the event. The classification component assigns a classifier value to the media content based on data associated with the media content and the group of media content. The notification component generates a notification message associated with the media content for a user based on the classifier value and a temporal-based relevancy value generated as a function of user context.

Abstract: A system for identifying and/or recommending relevant media content is provided. The system includes a relevancy component, a classification component and a notification component. The relevancy component determines a topic or an event related to media content and associates the media content with a group of media content based on the topic or the event. The classification component assigns a classifier value to the media content based on data associated with the media content and the group of media content. The notification component generates a notification message associated with the media content for a user based on the classifier value and a temporal-based relevancy value generated as a function of user context.

Abstract: Implementations disclose identifying content appropriate for children algorithmically without human intervention. A method includes identifying, by a processing device, entities corresponding to topics relevant to children, determining, by the processing device, a children's affinity score for each of the identified entities, and selecting, by the processing device, content based on the children's affinity score for the identified entities corresponding to the content.