Designing a travel recommendation system using Case-Based Reasoning and domain ontology

This paper proposes a new travel recommendation system, which aims to provide a unified solution to user demands. It is a hybrid system that combines Case-Based Reasoning with domain-specific ontology. Queries can be constructed template-based or in natural language and a relaxation query management strategy is developed. The solution space is searched from two perspectives: relevance and diversity. We propose a new similarity function, which measures the distances according to the domain ontology.