Interactive and Context-Aware Systems in Tourism

Dietmar Jannach () and Markus Zanker ()
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Dietmar Jannach: University of Klagenfurt
Markus Zanker: Free University of Bozen-Bolzano

Chapter 46 in Handbook of e-Tourism, 2022, pp 1085-1106 from Springer

Abstract: Abstract Travelers and tourists nowadays rely on a variety of online services or mobile apps for planning their trips, for making travel arrangements, and for making the choice between touristic offers during the trip. Prominent types of applications are hotel search and booking sites, travel planning applications, and in particular recommender systems. Academic research is often concerned with algorithmic aspects of such systems, e.g., by proposing techniques that find optimal routes or making recommendations based on long-term preference models. In the tourism domain, however, such systems must often be highly interactive, e.g., to let users state and revise their preferences in an incremental way. In many cases, the system also has to take the user’s context (e.g., their location) into account to make meaningful recommendations. In this chapter we first briefly review typical interactive e-tourism applications and then focus on the class of interactive and context-aware recommender systems. In that context, we will survey previous approaches to interactive recommendation in the tourism domain and then highlight open questions and outline future directions in the area.

Keywords: Recommender systems; Context awareness; User interaction (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-48652-5_125

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