System, apparatus, and method for recommending tv program based on content

A method for recommending a TV program based on content, comprising:

• decoding and outputting a received broadcast stream;
• extracting affectors by analyzing an output video;
• estimating affects that are a response of a viewer of the video;
• learning a preference model using an affect matching each of the affectors;
• and
• transmitting the learned preference model to a recommendation server.

A system for recommending a TV program based on content, comprising:

• a terminal device configured to:
• decode and output a received broadcast stream;
• extract affectors by analyzing a video that is being played by the video player;
• estimate affects that are an implicit response of a viewer of the video that is being played by the video player;
• and
• learn a preference model using an affect matching each of the affectors and transmit the learned preference model to a recommendation server, and
• the recommendation server configured to:
• in response to receipt of a preference model from a terminal device, estimate real-time preference for each of a plurality of channels by applying the preference model to each of the plurality of channels in real time;
• and
• register a specific TV program in a recommendation list and transmit the recommendation list to the terminal device in a case where a real-time preference for the specific TV program is equal to or greater than a predetermined level.