Abstract
Recommender systems have been widely applied in many areas, but the information available for the creation of such systems is poorly structured, given the lack of information provided by users. We propose approaches for pre-processing of the databases used in recommendations in order to elicit the most relevant information to the application. To this end, we explore categories present in …