DIETORECS - Intelligent recommendation for tourist destination decision making

Type Research Project

Funding Bodies

Duration March 26, 2001 - May 31, 2004

  • Tourism and Leisure Studies AE (Former organization)

Tags

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  • Grabler, Klaus (Former researcher)
  • Mazanec, Josef (Details)
  • Mitsche, Nicole (Former researcher)
  • Wöber, Karl (Former researcher) Project Head
  • Zins, Andreas (Former researcher)
 

Abstract (German)

The main objective of the project (DieToRecs) is to develop and validate a recommendation system for destination making. The system will be web based and will access and integrate data managed by two existing tourist portal. DieToRecs will provide personalized recommendations based on user profiles and contextual information. It will be highly interactive and "conversational" adapting the dialogue process as it learns more about the user. The dialogue will be driven by an explicit model of the tourist destination selection decision making, that will be developed analysing existing case repositories. DieToRecs will provide support for direct manipulation of data to enhance user confidence on suggested items. It will support product aggregation for a given destination. This will end up with a "travel plan" that can be used to support the user during the travel (recall events, advise on traffic condition, etc.) by means of his/her portable phone.

Abstract (English)

The main objective of the project (DieToRecs) is to develop and validate a recommendation system for destination making. The system will be web based and will access and integrate data managed by two existing tourist portal. DieToRecs will provide personalized recommendations based on user profiles and contextual information. It will be highly interactive and "conversational" adapting the dialogue process as it learns more about the user. The dialogue will be driven by an explicit model of the tourist destination selection decision making, that will be developed analysing existing case repositories. DieToRecs will provide support for direct manipulation of data to enhance user confidence on suggested items. It will support product aggregation for a given destination. This will end up with a "travel plan" that can be used to support the user during the travel (recall events, advise on traffic condition, etc.) by means of his/her portable phone.

Partners

  • Istituto Trentino di Cultura, Centro per la Ricerca Scientifica e Tecnologia - Italy
  • Azienda per la Promozione Turistica del Trentino - Italy
  • TIScover AG, Travel Information Systems - Austria http://www.tiscover.com
  • University of Illinois - United States/USA http://www.uiuc.edu/

Publications

Book (monograph)

2006 Fesenmaier, Daniel, Werthner, Hannes, Wöber, Karl. 2006. Destination Recommendation Systems: Behavioural Foundations and Applications. Wallingford: CAB International. (Details)

Journal article

2002 Mazanec, Josef A.. 2002. Introducing Learning and Adaptivity into Web-Based Recommender Systems for Tourism and Leisure Services. Tourism Review / Zeitschrift für Tourismus, 57, 4, 8-14 (Details)

Chapter in edited volume

2006 Grabler, Klaus, Zins, Andreas. 2006. Destination Recommendations based on Travel Decision Styles. In Destination Recommendation Systems: Behavioral Foundations and Applications, Hrsg. Daniel R. Fesenmaier, Hannes Werthner and Karl Wöber, 94-120. London: CAB International. (Details)
  Zins, Andreas, Wöber, Karl, Ricci, Francesco, Fesenmaier, Daniel R., Mirzadeh, Nader, Rumetshofer, Hildegard, Schaumlechenr, Erwin, Venturini, Adriano. 2006. DieToRecs: A Case-based Travel Advisory System. In Destination Recommendation Systems: Behavioural Foundations and Applications, Hrsg. D.R. Fesenmaier, H. Werthner, K.W. Wöber, 227-239. London: CAB International. (Details)
  Bauernfeind, Ulrike, Zins, Andreas. 2006. Evaluating Travel Recommender Systems: A Case Study of DIETORECS. In Destination Recommendation Systems: Behavioral Foundations and Applications , Hrsg. Daniel R. Fesenmaier, Hannes Werthner and Karl Wöber , 240-256. London: CAB International. (Details)

Contribution to conference proceedings

2004 Zins, Andreas H., Bauernfeind, Ulrike, Del Missier, F., Venturini, A., Rumetshofer, H.. 2004. An Experimental Usability Test for Different Destination Recommender Systems. In: Frew, Andrew J. (ed.): Information and Communication Technologies in Tourism. ENTER 2004. Proceedings of the International Conference in Cairo, Egypt, 228-238, Springer, Vienna-New York (Details)
  Zins, Andreas H., Bauernfeind, Ulrike, Del Missier, F., Mitsche, Nicole, Ricci, F., Rumetshofer, H., Schaumlechner, E.. 2004. Prototype Testing for a Destination Recommender System: Steps, Procedures and Implications. In: Frew, A. J. (ed.): Information and Communication Technologies in Tourism. ENTER 2004. Proceedings of the International Conference in Cairo, Egypt, 249-258, Springer, Vienna-New York (Details)
2003 Zins, Andreas H.. 2003. Adapting to Cognitive Styles to Improve the Usability of Travel Recommendation Systems. In: Frew, A. J., Hitz, M., O'Connor, P. (eds.): Information and Communication Technologies in Tourism 2003. 289-287, Springer: Wien (Details)
  Fesenmaier, D.R., Ricci, F., Schaumlechner, E., Wöber, K.W., Zanella, C.. 2003. DIETORECS: Travel Advisory for Multiple Decision Styles. In: Frew, A. J., Hitz, M., O'Connor, P. (eds.): Information and Communication Technologies in Tourism. ENTER 2003. Proceedings of the International Conference in Helsinki, 232-241, Austria, Vienna-New York: Springer (Details)
2002 Grabler, Klaus, Zins, Andreas H.. 2002. Vacation trip decision styles as basis for an automated recommendation system: lessons from observational studies. In: Wöber, Karl W., Frew, Andrew J., Hitz, Martin (eds.): Information and Communication Technologies in Tourism 2002. Proceedings of the International Conference in Innsbruck, Austria, 2002, 458-469, Wien: Springer (Details)

Paper presented at an academic conference or symposium

2005 Zins, Andreas, Wöber, Karl, Ricci, Francesco. 2005. Recommendations by collaborative browsing. ENTER Conference 2005, Innsbruck, Österreich, 25.01-27.01. (Details)
2004 Zins, Andreas H., Bauernfeind, Ulrike, Del Missier, F., Venturini, A., Rumetshofer, H.. 2004. An Experimental Usability Test for Different Destination Recommender Systems. Information and Communication Technologies in Tourism. ENTER 2004 in Cairo, Egypt, January (Details)
2003 Zins, Andreas H.. 2003. Adapting to Cognitive Styles to Improve the Usability of Travel Recommendation Systems. ENTER 2003 Helsinki, 30/01/2003 (Details)
  Wöber, Karl W.. 2003. DIETORECS: Travel Advisory for Multiple Decision Styles. ENTER 2003, Helsinki, Finland, 29/01/2003 (Details)
2002 Wöber, Karl W.. 2002. Decision Modelling and User Requirements in Tourism Recommendation Systems. DieToRecs IST-2000-29474 review meeting for the European Commission, Brussels, Belgium, 02/07/2002 (Details)
  Mazanec, Josef A.. 2002. Introducing Learning and Adaptivity into Web-Based Recommender Systems for Tourism and Leisure Services. Tourist Research Centre Annual Meeting, Barcelona, 21-24 March, 2002 (Details)
  Grabler, Klaus, Zins, Andreas. 2002. Vacation trip decision styles as basis for an automated recommendation system: lessons from observational studies. ENTER Conference 2002, Innsbruck, Jänner (Details)
2001 Wöber, Karl. 2001. DieToRecs: Objectives, Activities and Deliverables in Workpackage 2. DieToRecs Workshop Meeting, Innsbruck, Austria. 16/07/2001 (Details)
  Wöber, Karl. 2001. Learning from (New) Information System Sources. DieToRecs Workshop Meeting, Innsbruck, Austria. 16/07/2001 (Details)
  Mazanec, Josef. 2001. Opportunities for learning from customer behavior. DieToRecs Meeting, 16.-17. Juli, Innsbruck (Details)
  Mazanec, Josef. 2001. Our common goal of building an adaptive system. What does it mean for our agenda in WP2?. DieToRecs Meeting, 16.-17. Juli, Innsbruck (Details)

Working/discussion paper, preprint

2002 Fesenmaier, D., Grabler, K., Gretzel, U., Hwang, Y., Mazanec, J., Pan, B., Zins, A.. 2002. Tourist Decision Model Report. Project DieToRecs (IST-2000-29474) on Intelligent Recommendation for Tourist Destination Decision Making, April (Details)

Classification

Expertise

  • destination decision making
  • electronic commerce
  • tourist decision modelling
  • travel plan management