Tourism recommender system using Case Based Reasoning Approach (Case Study: Bandung Raya Area)

Abstract

Getting the expert advice to specify a reliable tourist attraction quickly and consistent to the requirements of each tourists was difficult, and the amount of experienced experts who can advise for tourism issues was insufficient. Providing an effective service in tourism sector, such as using the technology of computer system, can be the right solution and very necessary to attract foreign and local tourist to visit the tourist attractions in Bandung. In this paper, we develop the recommender system in tourism using Case Based Reasoning (CBR) method. The CBR system provides recommendations based on solutions from previously solved cases, and suitability between user requirements and features available. Recommendations are given by calculating the similarity values of previously solved cases with new cases. The solutions from previously solved cases with the greatest similarity value will be recommended. Thus, visitors can get recommendations suits to their requirements. In this observation, the given recommendations have an average level of accuracy 91% and 92% with Minimum Similarity Value 80-99%.