RSs represent a fascinating and fast evolving field of software
systems that have find particular success in web environments.
New developments in mobile computing, wireless networking, web technologies and social networking create vital space for the development of innovative mobile RSs which capture personal, social and environmental contextual parameters to deliver highly accurate and effective
situation-aware recommendations. As a result, mobile RSs have been a
subject of intense research in the recent years, as evidenced by the
proliferation of the relevant research prototypes. Among their many
application fields, mobile tourism has been the most popular field of
research for mobile RSs.
This article explored the landscape of mobile RSs, providing
details on their supported services and discussing open research
issues in the field. Our review followed a systematic approach,
based on a classification scheme that takes into account three
different view angles in the examination of existing mobile
tourism RSs: their chosen architecture, the degree of user involvement in the delivery of recommendations and the criteria taken
into account for deriving recommendations.