LSI Approach
Preprocessing
Compute low-rank approximation to the original term-by-document (sparse) matrix
Vector Space Model
Encode terms and documents using factors derived from SVD (ULV, SDD)
Postprocessing
Rank similarity of terms and docs to query via Euclid. distances or cosines