Abstract: Systems and methods are described for aggressive advertisement of media content. The system, using a prominent attribute of a first media asset, selects, from a plurality of candidate media assets for partial exposure to the user, a second media asset that features the prominent attribute. In response to determining the end to the first scene, the system determines a second attribute of the first scene and plays back a first segment of the second media asset featuring the prominent attribute and the second attribute, and resumes playback of the first media asset. During the resumed playback of the first media asset, the system detects a third attribute of a second scene. In response to determining an end of the second scene, the system plays back a second segment of the second media asset featuring the prominent attribute and the third attribute before resuming playback of the first media asset.

Abstract: Systems and methods are described for aggressive advertisement of media content. The system, using a prominent attribute of a first media asset, selects, from a plurality of candidate media assets for partial exposure to the user, a second media asset that features the prominent attribute. In response to determining the end to the first scene, the system determines a second attribute of the first scene and plays back a first segment of the second media asset featuring the prominent attribute and the second attribute, and resumes playback of the first media asset. During the resumed playback of the first media asset, the system detects a third attribute of a second scene. In response to determining an end of the second scene, the system plays back a second segment of the second media asset featuring the prominent attribute and the third attribute before resuming playback of the first media asset.

Abstract: Systems and methods are described for aggressive advertisement of media content. The system, using a prominent attribute of a first media asset, selects, from a plurality of candidate media assets for partial exposure to the user, a second media asset that features the prominent attribute. In response to determining the end to the first scene, the system determines a second attribute of the first scene and plays back a first segment of the second media asset featuring the prominent attribute and the second attribute, and resumes playback of the first media asset. During the resumed playback of the first media asset, the system detects a third attribute of a second scene. In response to determining an end of the second scene, the system plays back a second segment of the second media asset featuring the prominent attribute and the third attribute before resuming playback of the first media asset.

Abstract: Systems and methods are described herein increasing a likelihood above a target threshold of a user watching a target media asset. The method includes selecting a target media asset, identifying a media attribute present in the target media asset that does not match a user profile, computing a percentage of the media attribute present in the target media asset relative to other media attributes present in the target media asset, searching for a first media asset that comprises a first amount of the media attribute less than the percentage by a first threshold. Upon determining that the user consumes the first media asset, repeating the process with a second media asset that comprises a second amount of the media attribute greater than the first threshold and less than the percentage by a second threshold. After the user consumes the second media asset, recommending the target media asset to the user.

Abstract: Systems and methods are described herein increasing a likelihood above a target threshold of a user watching a target media asset. The method includes selecting a target media asset, identifying a media attribute present in the target media asset that does not match a user profile, computing a percentage of the media attribute present in the target media asset relative to other media attributes present in the target media asset, searching for a first media asset that comprises a first amount of the media attribute less than the percentage by a first threshold. Upon determining that the user consumes the first media asset, repeating the process with a second media asset that comprises a second amount of the media attribute greater than the first threshold and less than the percentage by a second threshold. After the user consumes the second media asset, recommending the target media asset to the user.