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)


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 ( – a company of Expedia Inc.).


Recommender systems E-tourism Evaluation 


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  1. 1.
    Burke, R.: Hybrid web recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 377–408. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  2. 2.
    Cremonesi, P., Garzotto, F., Turrin, R.: Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: an Empirical Study. ACM Transactions on Interactive Intelligent Systems 2(2), 1–41 (2012)CrossRefGoogle Scholar
  3. 3.
    Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommendation algorithms on top-n recommendation tasks. In: Proc. RecSys 2010, pp. 39–46. ACM, New York (2010)Google Scholar
  4. 4.
    Delgado, J., Davidson, R.: Knowledge bases and user profiling in travel and hospitality recommender systems. In: Proc. ENTER 2002, pp. 1–16. Springer, Wien (2002)Google Scholar
  5. 5.
    Drenner, S., Sen, S., Terveen, L.: Crafting the initial user experience to achieve community goals. In: Proc. of RecSys 2008, pp. 187–194. ACM, New York (2008)Google Scholar
  6. 6.
    Golbandi, N., Koren, Y., Lempel, R.: On bootstrapping recommender systems. In: Proc. CIKM 2010, pp. 1805–1808. ACM, New York (2010)Google Scholar
  7. 7.
    Jannach, D., Zanker, M., Jessenitschnig, M., Seidler, O.: Developing a conversational travel advisor with advisor suite. In: Proc. ENTER 2007, pp. 43–52. Springer, Wien (2007)Google Scholar
  8. 8.
    Jones, N., Pu, P.: User technology adoption issues in recommender systems. In: Proc. NAEC 2007, pp. 379–394 (2007)Google Scholar
  9. 9.
    Levi, A., Mokryn, O., Diot, C., Taft, N.: Finding a needle in a haystack of reviews: cold start context-based hotel recommender system. In: Proc. RecSys 2012, pp. 115–122. ACM, New York (2012)Google Scholar
  10. 10.
    Xie, M., Lakshmanan, L.V.S., Wood, P.T.: Comprec-trip: A composite recommendation system for travel planning. In: Proc. ICDE, pp. 1352–1355. IEEE (2011)Google Scholar
  11. 11.
    Rashid, A.M., Karypis, G., Riedl, J.: Learning preferences of new users in recommender systems: an information theoretic approach. In: SIGKDD Explorer Newsletter, vol. 10, pp. 90–100 (2008)Google Scholar
  12. 12.
    Ricci, F., Missier, F.: Supporting travel decision making through personalized recommendation. In: Karat, C., Blom, J., Karat, J. (eds.) Designing Personalized User Experiences in eCommerce. HCI Interaction Series, vol. 5, pp. 231–251. Springer, Netherlands (2004)CrossRefGoogle Scholar
  13. 13.
    Schumacher, M., Rey, J.-P.: Recommender systems for dynamic packaging of tourism services. In: Proc. ENTER 2011, pp. 13–23. Springer, Wien (2011)Google Scholar
  14. 14.
    Mahmood, T., Ricci, F., Venturini, A., Höpken, W.: Adaptive recommender systems for travel planning. In: Proc. ENTER 2008, pp. 1–11. Springer, Wien (2008)Google Scholar
  15. 15.
    Xiao, B., Benbasat, I.: E-commerce product recommendation agents: use, characteristics, and impact. Management Information Systems Quarterly 31(1), 137–209 (2007)Google Scholar
  16. 16.
    Zanker, M., Fuchs, M.W., Tuta, M.H., Müller, N.: Evaluating recommender systems in tourism - a case study from Austria. In: Proc. ENTER 2008, pp. 24–34. Springer, Wien (2008)Google Scholar
  17. 17.
    Porter, S.R., Whitcomb, M.E.: The Impact of Lottery Incentives on Survey Response Rates. Research in Higher Education 44(4), 389–407 (2003)CrossRefGoogle Scholar

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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