An integrated case-based reasoning and ontology-driven approach for designing recommendation systems

Considering the huge amount of available data, the necessity of high-quality recommendation systems is obvious. The complex and diverse definitions of quality make the problem even harder. Although there are several approaches to address the problem of relevant recommendation according to a given context, they still cannot cover all the involved aspects. In our work, we are proposing an integrated approach that enhances the traditional case-based reasoning approach with domain knowledge in order to improve the quality of our similarity metrics. In order to evaluate our model, we developed a proof-of-concept instance in the touristic domain.