Patent ID: 8805854

Claim:
A method of identifying a congruency of media data, the method comprising: accessing a first mood profile digest comprising a first vector including a first plurality of first mood categories, each having an associated value; accessing a second mood profile digest comprising a second vector including a second plurality of second mood categories, each having an associated value; determining that at least one first mood category is similar to at least one second mood category based on a correlates matrix that quantifies a similarity relationship between the first mood category and the second mood category, the determining including calculation of a normalized comparison vector of the first mood profile digest in accordance with A comp ⁡ [ n ] = ∑ m = 1 M ⁢ A score ⁡ [ m ] × C ⁡ ( A category ⁡ [ m ] , A category ⁡ [ n ] ) , wherein A comp [n] is an n th element of the normalized comparison vector A comp , A score [m] is a score of an m th element of the first mood profile digest A, A category [m] is a first mood category of the m th element of the first mood profile digest A, and C(x,y) is a comparison value between the first and second mood categories x and y as indicated in the correlates matrix; and dependent upon the similarity between the first mood category and the second mood category, comparing the value associated with the first mood category with the value associated with the second mood category, the comparing of the values being performed by a processor of a machine; and generating a similarity score representing a degree of congruency between the first mood profile digest and the second mood profile digest based on the comparing of the associated values.