Design and Implementation of an Adaptive Tourist Recommendation System

Recommendation Systems and Adaptive Systems have been introduced in travel applications in order to support travellers in their decision-making processes. These systems should respond to the unexpected changes during travel. In this case, they need to sense the changes holistically before, during, and after the travel. In addition, they should also be adapted to the specifications and conditions of the traveller. For example, there is a need to consider all aspects of the traveller’s needs, such as personal, cultural, and social. Similarly, the information about accommodations, flights, cities, activities and countries should be gathered through different sources. Furthermore, these systems need to learn from travellers’ feedback to improve the quality of recommendations. However, the majority of travel applications do not satisfy the above requirements. To address these problems and issues, we propose and implement a travel process that is supported by an adaptive tourist recommendation framework, architecture, and system.