Importance

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Abstract

There is provided a system for recommending a TV program based on content, the system including: 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; and learn a preference model using an affect matching each of the affectors and transmit the learned preference model to a recommendation server, and a recommendation server configured to: in response to receipt of a preference model, estimate real-time preference 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.

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First Claim