We then produce a similarity vector sv (called s-vector) for d. sv consists of a set of similarity values between document d (in a dvector) and query q (in a d-vector): where Sim is a similarity function consists of a set of similarity measures.
the d-vector for document d in the document space is transformed to an s-vector sv for d in the similarity space.