This paper presents a model for discovering user preferences from item characteristics.
Based on the theory of evidence, the model estimates a probability interval for an item
represented by a set of features. This interval represents the item preference within a group
of users and it is computed according to preferences expressed in the past. Additionally, a
method for moving among different domains and fusing information is outlined. The issue of
efficient search subsets of interest within the inclusion lattice is investigated and algorithms …