10. The method of claim 9 wherein the likelihood is defined as (x)∝P(x|VLM t m ) where x is the target media instance, and where t is a tag associated with x, and where VLM is a VLM generated based on t, and where m indicates a form of the VLM, and where P is the probability that tag t is descriptive of the target media instance x.
9. A method for generating an image-conditioned tag correlation (“ITC”) relevance measure, the method comprising: generating, by a computing device, a target visual language model (“VLM”) for a target tag t i of a target media/tag pair; generating a candidate VLM for a candidate tag t j of a plurality of candidate media/tag pairs wherein the candidate tag t j co-occurs with the target tag t i of the target media/tag pair; defining a similarity between a target media it stance of the target media/tag pair and a candidate media instance of the candidate media/tag pair as likelihood ; defining a distance between t i and t j that is the inter-product of two likelihood vectors of likelihood between a target media of the target media/tag pair and tags t i and t j , wherein the distance is an asymmetric distance or a symmetric distance, and wherein the asymmetric distance defined as D ITC a ⁡ ( t i , t j , x ) =  L t i ⁡ ( x ) · L t j ⁡ ( x )  L t i ⁡ ( x )  - L t i ⁡ ( x )  where x is the target media instance, and where L t i (x)=[ , ], and wherein the symmetric distance defined as D ITC s ⁡ ( t i , t j , x ) = L t i ⁡ ( x ) · L t j ⁡ ( x )  L t i ⁡ ( x )  ⁢  L t j ⁡ ( x )  where x is the target media instance and where L t i (x)=[ , ], and, for both the asymmetric distance and the symmetric distance, where exponents of 1 indicate a unigram likelihood based on a VLM in a unigram form, and where exponents of 2 indicate a bigram likelihood based on a VLM in a bigram form, and where exponents of 3 indicate a trigram likelihood based on a VLM in a trigram form; and defining the ITC relevance measure as the inverse of the distance wherein the ITC relevance measure is in a visual domain.