Destination Recommendation Systems

Behavioural Foundations and Applications

Inbunden, Engelska, 2006

Av Daniel Fesenmaier, USA) Fesenmaier, Daniel (University of Florida, Karl Wober, Hannes Werthner, Austria) Wober, Karl (Modul University, Wien, Austria) Werthner, Hannes (Vienna University of Technology, Karl Wöber

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An emerging area of study within technology and tourism focuses on the development of technologies which enable Internet users to quickly and effectively find relevant information about selected topics including travel destination, transportation, etc. This area of tourism research and development is generally referred to as destination marketing systems (DMSs) and brings together both applied and academic interests ranging from marketing and management to psychology, mathematics and computer sciences. This book provides a comprehensive synthesis of the current status of research, representing the contributions of some of the leading researchers in destination marketing systems.

Produktinformation

Utgivningsdatum2006-07-20
Mått172 x 244 x 25 mm
Vikt976 g
FormatInbunden
SpråkEngelska
Antal sidor320
FörlagCABI Publishing
ISBN9780851990231

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Introduction: Destination Recommendation Systems for the Internet Section 1: Behavioral Foundations for Destination Recommendation Systems 1: Information Search for Travel Decisions, Y-H Hwang, Dong-A University, Korea, U Gretzel, Texas A &M University, USA, Z Xiang and D R Fesenmaier, Temple University, USA 2: Travel Destination Choice Models, Y-H Hwang, U Gretzel, Z Xiang and D R Fesenmaier 3: Information Search and Navigation on the Internet, B Pan, College of Charleston, USA, and D R Fesenmaier 4: Tourist Decision Making and Travel Destination Recommendation Systems, B G C Dellaert, Maastricht University, Netherlands, and G Häubl, University of Alberta, Canada 5: A Behavioral Framework for Destination Recommendation Systems Design, U Gretzel Y-H Hwang and D R Fesenmaier Section 2: Design of Destination Recommendation Systems 6: Case-based Travel Recommendations, F Ricci and D Cavada, ITC-irst, Italy, N Mirzadeh, University of Amsterdam, Netherlands and A Venturini, eCTRL Solutions, Italy 7: Destination Recommendations based on Travel Decision Styles, A H Zins, Vienna University of Economics and Business Administration, Austria, and K Grabler, Manova, Austria 8: Travel Personality Testing for Destination Recommendation Systems, U Gretzel, N Mitsche, University of Sunderland, UK, Y-H Hwang and D R Fesenmaier 9: Building Adaptive Systems: A Neural Net Approach, J Mazanec, Vienna University of Economics and Business Administration, Austria 10: Narrative Design for Travel Recommender Systems, U Gretzel 11: Interface Metaphors on Travel Related Websites, Z Xiang and D R Fesenmaier 12: Playfulness on Web site Interactions: Why can’t travel recommendation systems be fun? D-Y Kim, Purdue University, USA and C Morosan, Temple University Section 3: Case Studies in Destination Recommendation System Development 13: Domain Specific Search Engines, K W Wöber, Vienna University, Austria 14: DIETORECS: A Case-Based Travel Advisory System, F Ricci, D R Fesenmaier, M Mirzadeh, H Rumetshofer, University of Linz, Austria, E Schaumlechner, A Venturini, K W Wöber and A Zins, Vienna University, Austria 15: Evaluating Travel Recommender Systems: A Case Study of DIETORECS, A H Zins and U Bauernfeind, Vienna University of Economics and Business Administration, Austria 16: TourBO: A Prototype of a Regional Tourism Advising System in Germany, T Franke, Norisbank, Germany 17: MobyRek: A Conversational Recommender System for On-the-move Travelers, F Ricci and Q N Nguyen, University of Trento, Italy Section 4: Recommendation Systems and Travel – An Exciting Future 18: Futuring Travel Destination Recommendation Systems, O Stock, ITC-irst, Italy, H Werthner, University of Innsbruck, Austria and M Zancanaro, ITC-irst, Italy