Paper Info
Title
Photo-based user profiling for tourism recommender systems
Abstract
The World Wide Web has become an important source of information for tourists planning their vacation. 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. Since a picture paints a thousand words we have conducted an online survey revealing significant dependencies between tourism-related photographs and tourist types. The results of the survey are packaged in a Web-based tourist profiling tool. It is now possible to generate a user profile in an enjoyable way by simply selecting photos without enduring lengthy form-based self assessments.
Year
DOI
Venue
2007
10.1007/978-3-540-74563-1_5
EC-Web
Keywords
Field
DocType
photo-based user,user profile,web-based tourist,tourism recommender system,lengthy form-based self assessment,tourist type,online survey,suitable holiday destination,significant dependency,picture paint,important source,world wide web,recommender system,decision making process
Recommender system,World Wide Web,User profile,Profiling (computer programming),Computer science,Tourism,Database,Decision-making,Destinations
Conference
Volume
ISSN
ISBN
4655
0302-9743
3-540-74562-9
Citations 
PageRank 
References 
5
0.51
6
Authors
5
Name
Order
Citations
PageRank
Helmut Berger1383.63
Michaela Denk21129.60
Michael Dittenbach329726.48
Andreas Pesenhofer4284.72
Dieter Merkl5846115.65