Digital Technology in Smart Tourism: Autonomous Web-based Recommendation System

Smart tourism refers to the application of information and communication technology for developing innovative tools in tourism. It supports integrated efforts to find innovative ways to collect and use data derived from physical infrastructure, social connectedness and organizational sources, and users in combination with advanced technologies to increase efficiency, sustainability, and experiences. The purpose of the study is design and develops recommended system based on the agent and web technologies, which utilizes a hybrid recommendation filtering for the smart tourism industry. A hybrid recommendation system based on agent technology is designed by considering the online communication with other sectors in the tourism industry, such as the TSC, agency etc. although, the online communication between the sectors via agents is design and developed based on the contract net protocol. Furthermore, the design system is developed on the Java Agent Development Framework and implemented as a web application. Case study-based results with considering two real scenarios and 100 customers illustrated that proposed web application improves the rate of the recommendation for the customers, in the first scenario without disturbances, this rate improve 20% and the second scenario with disturbances 30% rate of recommendation improved. In addition, based on the second scenario real time data communication on the system is happened therefore proposed system supported real time data communication.