Um sistema de recomendação para mídias baseado em conteúdo nebuloso.
Abstract
This work presents the development of a content-based recommender system for media of the
AMMO (Authoring and Manipulation of Multimedia Objects) environment s multimedia
database. This environment keeps inexact semantic information that describes the media. This
project s objective was to recommend media using this fuzzy information. Other informations
that should be considered are the of user s interest evolution, relevance feedback and the
inference of the user s interest, based on his navigation in the database s multimedia
applications. These multimedia applications are presented by the system in the form of a
graph, on an intuitive and easy to use graphical interface. The developed recommendation
technique uses statistical tests, match algorithms and inexact knowledge processing through
fuzzy rules.