Compositional CBR via Collaborative Filtering

We introduce an application combining CBR and collaborative filtering techniques in the music domain. We describe a scenario in which the classical collaborative filtering recommendation algorithm suffers from serious drawbacks: this scenario stresses the difference between a single-interaction case and a dynamically growing user profile. We set up a framework meant to extend collaborative filtering for compositional recommendation systems where cases does not explicitly yield the amount of overlapping items needed by classical filtering