Photo-Based User Profiling for Tourism Recommender Systems

Authors: 
Helmut Berger
Michaela Denk
Michael Dittenbach
Andreas Pesenhofer
Type: 
Speech with proceedings
Proceedings: 
E-Commerce and Web Technologies
Publisher: 
Springer
Pages: 
46 - 55
ISBN: 
ISBN: 3-540-74562-9
Year: 
2007
Abstract: 
The World Wide Web has become an important source of information for tourists planning their vacation. <br> So, tourism recommender systems supporting users in their decision making process by suggesting suitable holiday destinations or travel packages based on user profiles are an area of vivid research. <br> Since a picture paints a thousand words we have conducted an online survey revealing significant dependencies between tourism-related photographs and tourist types.<br> The results of the survey are packaged in a Web-based tourist profiling tool.<br> It is now possible to generate a user profile in an enjoyable way by simply selecting photos without enduring lengthy form-based self assessments.
TU Focus: 
Information and Communication Technology
Reference: 

H. Berger, M. Denk, M. Dittenbach, A. Pesenhofer, W. Merkl:
"Photo-Based User Profiling for Tourism Recommender Systems";
Vortrag: EC-Web, Regensburg, Germany; 03.09.2007 - 07.09.2007; in: "E-Commerce and Web Technologies", G. Psaila, R. Wagner (Hrg.); Springer, LNCS 4655 (2007), ISBN: 3-540-74562-9; S. 46 - 55.

Zusätzliche Informationen

Last changed: 
13.01.2008 17:21:30
TU Id: 
141644
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
H. Berger, M. Denk, M. Dittenbach, A. Pesenhofer, W. Merkl