Recommender systems represents a class of systems designed to help individuals deal with information overload or incomplete
information. Such systems help individuals by providing recommendation through the use of various personalization
techniques
. Collaborative filtering is a widely used technique for rating prediction in recommender systems. This paper presents a
method uses preference relations instead of absolute ratings for similarity calculation.
The result indicates that the proposed method outperform the other methods such as the Somers Coefficient.
