Conceptual matching and its applications to selection of TV programs and BGMs

We propose a method for representing common concepts by fusing conceptual fuzzy sets (CFSs) with ontology. We also describe a method of conceptual matching for retrieving information that meets a user's intentions. The matching is done based on the region of the ontological structure covered by the CFS representing the user's intention as well as on the original keywords. We apply the proposed conceptual-matching method to two types of agents. One agent recommends TV programs to watch. The recommended programs have EPGs (electronic program guides) similar to those of previously watched programs or that contain words matching the learning data. Practical examples demonstrate that the proposed system recommend TV programs matching the user's tastes. The other selects music matching the tone of a text composition.