M-Guide: Hybrid Recommender System Tourism In East-Timor

Mobile devices have an important role in supporting every activity of the wide community. Mobile-based (android) tour guide system becomes a benchmark in supporting the Tourist activities. The purpose of this study is to apply M-guide application that utilizes location-based services with hybrid recommender system in guiding Tourists based on recommendation result. Collaborative filtering and content-based filtering methods have an interest in recommending Tourist attractions based on the past Tourist data by using the algorithm k-nearest neighbor (k-NN) to determine the rating of the Tourist attractions. The trend of Smartphone usage became an alternative in determining the contribution in this research by applying M-Guide which has the ability in recommending Tourist attractions and has a guide system in guiding the Tourists based on Tourist attractions in East Timor.