An Architecture for a Mobile Recommender System in Tourism

During the last decade, scholars have paid a lot of attention to the Mobile Recommender Systems in tourism industry. With reducing information overload and narrowing the results according to tourists' characteristics and conditions, these systems lead to the development of tourism industry. These recommendations are in the form of multimedia contents, context-aware services, comments and points of peer users, travel schedule and etc. Recent advances in mobile and computing technologies has created more opportunities for detailed and personal recommendations, through historical and contextual parameters. This paper studies Recommender System's models and techniques in order to propose a new architecture for a Recommender System in tourism. The proposed architecture uses hybrid filtering technique, contextual information of the user, and Model-View-Controller architecture. Also our proposed architecture covers many gaps in previous studies. After that, the design and implementation of a mobile phone application associated with this architecture was examined. Based on The 3-layered Model-View-Controller architecture and Client-Server architecture, its development has taken place. In addition to location and map services using Google Maps API, place suggestion services are offered to users, that here, a private host and domain is used.