Hello all, I'm using SVD to reduce the dimensionality of a text corpus. When I get queries, I generate a new matrix with them (based on the dictionary of the index) and apply the same matrix transformation. Finally, I multiply (SVD'd) the index matrix by the (SVD'd) query matrix to get a similarity vector for each query.
My question is, is there a class (or a command-line instruction) that generates the top items from this vector? I know that Taste has a abstraction called "TopItems", but I wonder if a similar thing exists for vectors. Thanks a lot, Julian
