The Architecture of Tourism Recommendation System Based on Context-Awareness and Two-Way Relationship

Increasing and growing of destinations in the tourism sector cause excessive information loads. Due to overloaded information, it will be difficult for tourists to determine the appropriate destination. In recent years, the recommendation system has been developed to overcome these problems. This study about a tourist attraction recommendation system model designed with context-awareness and two-way relationships to produce recommendations based on tourist preferences in real-time. The Analytical Hierarchy Process (AHP) algorithm used in weight input from users in determining location recommendations. The algorithm composes an alternative sequence of decisions and selects the best alternative when making decisions by weighting certain criteria. The system considers contextual information (e.g., weather, time, and traffic flow), and a two-way relationship, i.e., feedback (e.g., rating and comment) from other users regarding a particular destination which notified the active users in real time. Further, contextual information and feedback from other users will affect active user to change the list of recommendations that have been given or remain on the recommendations given by the system.