  In this paper we propose and develop a relatively simple and efficient
approach for estimating unknown elements of a user-rating matrix in the context
of a recommender system (RS). The critical theoretical property of the method
is its consistency with respect to arbitrary units implicitly adopted by
different users to construct their quantitative ratings of products. It is
argued that this property is needed for robust performance accuracy across a
broad spectrum of RS application domains.
