A survey on mobile tourism Recommender Systems
Damianos Gavalas, Vlasios Kasapakis, Charalampos G. Konstantopoulos, Konstantinos Mastakas, Grammati E. Pantziou · 2013
Recommender Systems (RS) have been increasingly common in web applications seeking to predict content items of potential interest to users. Among others, RSs have been successfully applied in e-tourism applications, offering travel recommendations. The emerging mobile RSs are tailored to mobile users and promise to substantially enrich tourist experiences. New developments in mobile and pervasive computing technologies leverage massive opportunities to provide accurate personalized tourist recommendations that capture several contextual parameters. This article presents a state-of-the-art in the field, proposing a classification of mobile tourism RSs and providing insights on their offered services. It also highlights promising research opportunities with respect to mobile RSs employed in tourism.