Take a look at the new version of this page: [ beta version ]. Tell us what you think.

ABSTRACT

Travel and tourism represents the leading domain for applications in b2c e-commerce. Thus, it deserves highest attention. Due to insufficient search engines, however, arranging a trip on current online travel portals is often not as easy as it seems. We present a novel approach for an advanced processing of database queries dealing with individual as well as global preferences of customers. Our approach also comprises the deployment of existing preference search technology to the tourism domain of electronic commerce. Consequently, the tedious empty-result-effect is avoided. Thereby, a novel, personalized search process delivering custom-tailored products is enabled for tourism and in general for e-commerce, respectively. A first prototype implementing our advanced search has shown promising results.

REFERENCES

• 1: Benckendorff, P. An Exploratory Analysis of Traveler Preferences for Airline Website Content. Journal of Information Technology & Tourism, 8(3), 149--159.
• 2: Cardoso, J. and Lange, C. A Framework for Assessing Strategies and Technologies for Dynamic Packaging Applications. Journal of Information Technology & Tourism, 9(1), 27--44.
• 3: Döring, S., Kießling, W., Preisinger, T., and Fischer, S. Evaluation and Optimization of the Catalog Search Process of E-Procurement Platforms. Journal of Electronic Commerce Research and Applications, 5 (1), 44--56.
• 4: Hsieh, T.-C. et. al. The Effects of Emerging Technologies on the Travel, Tourism and Hospitality Marketplace. In New York University and PhoCusWright Inc. Joint Research (www.phocuswright.com). New York, USA, 2005.
• 5: Werner Kiesling , Stefan Fischer , Sven Doring, COSIMAB2B " Sales Automation for E-Procurement, Proceedings of the IEEE International Conference on E-Commerce Technology, p.59-68, July 06-09, 2004
• 6: Werner Kießling, Foundations of preferences in database systems, Proceedings of the 28th international conference on Very Large Data Bases, p.311-322, August 20-23, 2002, Hong Kong, China
• 7: Öörni, A. and Klein, S. Electronic Travel Markets: Elusive Effects on Consumer Behavior. In Proceedings of the 10th Int. Conf. on Information and Communication Technologies in Tourism (ENTER '03) (Helsinki, Finland, Jan 29--31, 2003). Springer, Wien-New York, 2003, 29--38.
• 8: Palkoska, J. et al. Advanced Query Mechanisms in Tourism Information Systems. In Proceedings of the 9th Int. Conf. on Information and Communication Technologies in Tourism 2002 (ENTER '02) (Innsbruck, Austria, Jan. 23--25, 2002). Springer, Wien-New York, 2002, 438--447.
• 9: Ricci, F. Travel Recommender Systems. IEEE Intelligent Systems, 17 (6), 55--57.
• 10: Ricci, F. et al. Intelligent Query Management for Travel Product Selection. In Proceedings of the 9th Int. Conf. on Information and Communication Technologies in Tourism 2002 (ENTER '02) (Innsbruck, Austria, Jan. 23--25, 2002). Springer, Wien-New York, 2002, 448--457.
• 11: Marc Torrens , Patrick Hertzog , Loic Samson , Boi Faltings, reality: a scalable intelligent travel planner, Proceedings of the 2003 ACM symposium on Applied computing, March 09-12, 2003, Melbourne, Florida [doi>10.1145/952532.952655]
• 12: Werthner, H. Intelligent Systems in Travel and Tourism. In Proceedings of the 18th Int. Joint Conf. on Artificial Intelligence (IJCAI 03) (Acapulco, Mexico, Aug. 9--15, 2003). Morgan Kaufmann, San Francisco, 2003, 1620--1628.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Keywords:
e-commerce, e-tourism, personalization, preference search, query processing