Our research explores the influence of recommendations on the quality of the user experience (UX) in the e-tourism domain. We are interested in the effects of smoothly introducing recommenders in existing commercial etourism system and to explore the benefits of recommendations in different conditions of availability of tourism services (which has a dynamic nature and typically depends on tourism flows in different seasons). The paper presents a wide empirical study (240 participants) that addresses the above issues and has been carried on in cooperation with a large hotel reservation provider (Venere. com - a company of Expedia Inc.).© Springer-Verlag Berlin Heidelberg 2013.
CITATION STYLE
Cremonesi, P., & Garzotto, F. (2013). Smoothly extending e-tourism services with personalized recommendations: A case study. Lecture Notes in Business Information Processing, 152, 174–181. https://doi.org/10.1007/978-3-642-39878-0_16
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