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CABI Book Chapter

Destination recommendation systems: behavioural foundations and applications.

Book cover for Destination recommendation systems: behavioural foundations and applications.


An emerging area of study within technology and tourism focuses on the development of technologies that enable Internet users to quickly and effectively find relevant information about selected topics including travel destination and transportation. This area of tourism research and development is generally referred to as destination marketing/recommendation systems. This book provides a comprehen...


Chapter 6 (Page no: 67)

Case-based travel recommendations.

This chapter provides the methodological foundations and the rationale for approaching travel destination recommendation as a problem-solving activity. Case-base reasoning (CBR) is presented both as a cognitive plausible approach and as an integrated paradigm to build advisory systems. The chapter then describes an integrated solution called Trip@dvice that employs CBR. Finally, the chapter discusses the most important findings of various validation activities and future research.

Other chapters from this book

Chapter: 1 (Page no: 3) Information search for travel decisions. Author(s): Hwang YeongHyeon Gretzel, U. Xiang, Z. Fesenmaier, D. R.
Chapter: 2 (Page no: 17) Travel destination choice models. Author(s): Hwang YeongHyeon Gretzel, U. Xiang, Z. Fesenmaier, D. R.
Chapter: 3 (Page no: 30) Information search and navigation on the internet. Author(s): Pan, B. Fesenmaier, D. R.
Chapter: 4 (Page no: 45) Tourist decision-making and travel destination recommendation systems. Author(s): Dellaert, B. G. C. Häubl, G.
Chapter: 5 (Page no: 53) A behavioural framework for destination recommendation systems design. Author(s): Gretzel, U. Hwang YeongHyeon Fesenmaier, D. R.
Chapter: 7 (Page no: 94) Destination recommendations based on travel decision styles. Author(s): Zins, A. H. Grabler, K.
Chapter: 8 (Page no: 121) Travel personality testing for destination recommendation systems. Author(s): Gretzel, U. Mitsche, N. Hwang YeongHyeon Fesenmaier, D. R.
Chapter: 9 (Page no: 137) Building adaptive systems: a neural net approach. Author(s): Mazanec, J. A.
Chapter: 10 (Page no: 171) Narrative design for travel recommender systems. Author(s): Gretzel, U.
Chapter: 11 (Page no: 180) Interface metaphors on travel-related websites. Author(s): Xiang, Z. Fesenmaier, D. R.
Chapter: 12 (Page no: 190) Playfulness on website interactions: why can travel recommendation systems not be fun? Author(s): Kim, D. Y. Morosan, C.
Chapter: 13 (Page no: 205) Domain-specific search engines. Author(s): Wöber, K. W.
Chapter: 14 (Page no: 227) DieToRecs: a case-based travel advisory system. Author(s): Ricci, F. Fesenmaier, D. R. Mirzadeh, N. Rumetshofer, H. Schaumlechner, E. Venturini, A. Wöber, K. W. Zins, A. H.
Chapter: 15 (Page no: 240) Evaluating travel recommender systems: a case study of DieToRecs. Author(s): Zins, A. H. Bauernfeind, U.
Chapter: 16 (Page no: 257) TourBO: a prototype of a regional tourism advising system in Germany. Author(s): Franke, T.
Chapter: 17 (Page no: 281) MobyRek: a conversational recommender system for on-the-move travellers. Author(s): Ricci, F. Quang Nhat Nguyen
Chapter: 18 (Page no: 297) Futuring travel destination recommendation systems. Author(s): Stock, O. Werthner, H. Zancanaro, M.

Chapter details

  • Author Affiliation
  • eCommerce and Tourism Research Lab, ITC-irst, Trento, Italy.
  • Year of Publication
  • 2006
  • ISBN
  • 9780851990231
  • Record Number
  • 20063136653