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Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study

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E-Commerce and Web Technologies (EC-Web 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 152))

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Abstract

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 e-tourism 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.).

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Cremonesi, P., Garzotto, F. (2013). Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study. In: Huemer, C., Lops, P. (eds) E-Commerce and Web Technologies. EC-Web 2013. Lecture Notes in Business Information Processing, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39878-0_16

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  • DOI: https://doi.org/10.1007/978-3-642-39878-0_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39877-3

  • Online ISBN: 978-3-642-39878-0

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