3. The method of claim 1 , scoring further comprising: determining, for each segment, a unit-level score for each of the at least one unit of the segment, determining the unit-level score for a unit comprising determining a distance between the auxiliary data feature space and a feature vector of the first number of feature vectors, the feature vector representing the unit, each unit level score representing a measure of similarity of a respective one of the at least one unit to the descriptive information represented by the auxiliary data feature space; and scoring each segment using the unit-level score determined for each of the at least one unit of the segment.
3. The method of claim 1 , scoring further comprising: determining, for each segment, a unit-level score for each of the at least one unit of the segment, determining the unit-level score for a unit comprising determining a distance between the auxiliary data feature space and a feature vector of the first number of feature vectors, the feature vector representing the unit, each unit level score representing a measure of similarity of a respective one of the at least one unit to the descriptive information represented by the auxiliary data feature space; and scoring each segment using the unit-level score determined for each of the at least one unit of the segment. 5. The method of claim 3 , the first media content item is a video content item, each unit of the first media content item is a frame and each segment comprises at least one frame.