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

  • Paolo Cremonesi
  • Franca Garzotto
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 152)

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.).

Keywords

Recommender systems E-tourism Evaluation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Paolo Cremonesi
    • 1
  • Franca Garzotto
    • 1
  1. 1.Department of Electronics, Information, and BioengineeringPolitecnico di MilanoMilanItaly

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