A Design of Semantic-based Recommender System for Medical Tourism

Medical tourism has been growing rapidly in recent years. This trend causing the information about medical tourism destination will increase significantly. The information of medial tourism has been found online started from the demographic spread of the potential medical tourists and destination. However, the growth of information available on the web nowadays has led to information overload, hampering the user's ability to distinguish relevant information from irrelevant. This condition restricts people use information resource effectively. Due to this fact, recommender systems have gained momentum as an efficient tool to reduce the complexity when searching for relevant information. Personalization capabilities are valuable for recommender system to match the user's preference against all medical tourism resources. In designing a recommendation system, it is important to consider about construction of the main design decisions and must be constrained by the environment of the recommender which is influence them. The recommender system is designed by using the technology of the semantic web to model the domain knowledge and as a content-based recommendation technique. Finally, a design of recommender system for medical tourism has been proposed in this research. The system will generate recommendation of medical tourism resources all in one package to users.