9. The system of claim 7 , wherein the model produces the similarity measure via the term-weighting function, the term-weighting function comprising a cosine function, Jaccard function, or kernel function.
7. In a computing environment, a system comprising; a memory, wherein the memory comprises computer useable program code; and one or more processing units, wherein the one or more processing units execute the computer useable program code configured to implement a model that produces a similarity measure between objects, each of the object represented by term vectors, including learning values of the term vectors by: extracting terms from each object for generating a plurality of features from each of the extracted terms; for each of the extracted terms, creating a term vector by including one or more of the plurality of features, the one or more of the plurality of features of the term vector being associated with one or more model parameters; creating a term-weighting function including the term vectors associated with the extracted terms; and learning the one or more model parameters of the term vectors of the term-weighting function that optimize a loss function to construct a learned term-weighting function.