Towards a tunable framework for recommendation systems based on pairwise preference mining algorithms

Abstract

In this article, we present PrefRec, a general framework for developing RS using Preference Mining and Preference Aggregation techniques. We focus on Pairwise Preference Mining techniques allowing to predict which, between two objects, is the preferred one.A preliminary empirical study for analyzing the influence of the different factors involved in each of the five modules of PrefRec is presented. © 2014 Springer International Publishing.