Destination recommendation systems: behavioural foundations and applications

✍ Scribed by Fesenmaier, D. R., Wöber, K. W., Werthner, H. (Eds.)

• Publisher: CABI
• Year: 2006
• Tongue: English
• Leaves: 370
• Category: Library

✦ Synopsis

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 comprehensive synthesis of the current status of research on destination recommendation systems. Part I (chapters 1-5) considers the importance of understanding consumer behaviour, especially information search and decision-making-related behaviour, in designing effective travel recommendation systems. Part II (chapters 6-12) discusses critical methodologies and considerations for destination recommendation design. Part III (chapters 13-17) introduces four distinctly different systems that have been developed based upon the notions outlined in the previous chapters. Part IV (chapter 18) focuses on the future of recommendation systems for travellers. The book has a subject index.

✦ Table of Contents

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: 6 (Page no: 67) Case-based travel recommendations. Author(s): Ricci, F. Cavada, D. Mirzadeh, N. Venturini, A. 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.

✦ Subjects

CC300 - Information and Documentation EE119 - Leisure, Recreation and Tourism Economics, (New March 2000) EE700 - Marketing and Distribution EE720 - Consumer Economics UU700 - Tourism and Travel