Method and apparatus for content curation

A method, comprising:

• modifying, by a processing system including a processor, a user profile associated with a user associated with a content service to generate an updated user profile according to viewing of media content by the user and user feedback information associated with the viewing of the media content, wherein the user feedback information is based on an implicit user reaction to the media content, and wherein the implicit user reaction includes viewing simultaneous media content;
• selecting, by the processing system, a set of media content for a personal media channel associated with the user according to the updated user profile;
• determining, by the processing system, a user context according to information associated with user device, wherein the user context includes current activity of the user;
• determining, by the processing system, neighbors having a similar context;
• applying machine learning, by the processing system, to the user context and context of neighbors to infer user moods and desires;
• modifying, by the processing system, the set of media content according to the user moods and desires to generate an updated set of media content, wherein a type of media content is eliminated from the set of media content in the updated set of media content according to the user context and the neighbors with the similar context, and wherein the type of media content eliminated from the set of media content corresponds to a format of the type of media content, a delivery scheme of the type of media content, or a combination thereof;
• and
• presenting, by the processing system, the updated set of media content at a presentation device of the user via the personal media channel of the user associated with the content service.

A non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• modifying a user profile associated with a user associated with a content service to generate an updated user profile according to viewing of media content by the user and user feedback information associated with the viewing of the media content, wherein the user feedback information is based on an implicit user reaction to the media content, and wherein the implicit user reaction includes viewing simultaneous media content;
• determining a user context according to information associated with a user device, wherein the user context includes current activity of the user;
• determining neighbors having a similar context;
• applying machine learning to the user context and context of neighbors to infer user moods and desires;
• modifying a set of media content according to the user moods and desires to generate an updated set of media content, wherein a type of media content is eliminated from the set of media content in the updated set of media content according to the user context and the neighbors with the similar context, and wherein the type of media content eliminated from the set of media content corresponds to a format of the type of media content, a delivery scheme of the type of media content, or a combination thereof;
• and
• presenting the updated set of media content at a presentation device of the user via a personal media channel of the user associated with the content service.