Abstract— Smart systems are powerful tools that can break down complex scenarios to provide guidance for decision makers in order to select the most appropriate course of action. This technological breakthrough has been implemented in various business models varying from the financial market to simple navigation software. It has been also applied in the Tourism industry in the form of recommender systems to aid the traveler in selecting their desired product. Although this process managed to group the products according to a given criteria or similarities by previous users, it has yet to achieve its full potential in terms of providing a personalized and smart recommendation for each tourist. This paper highlights the importance of understanding and analyzing the user preferences before providing a recommendation for any touristic service by dividing this reconnaissance phase into three different dimensions that can change dynamically according to the behavior of the tourist.

Index Terms—smart tourism, dynamic recommendations, travel companion, tourist behavior, Internet of things, big data, online bookings

Cite: Mohamed K. Watfa and Daniel Sobh, "Generative Smart Tourism, the Road for Big Data" Journal of Advanced Management Science, Vol. 5, No. 6, pp. 424-439, November 2017. doi: 10.18178/joams.5.6.424-439