Photo-based user profiling for tourism recommender systems

Authors:
Helmut Berger;Michaela Denk;Michael Dittenbach;Andreas Pesenhofer;Dieter Merkl
Affiliations:
E-Commerce Competence Center, Wien, Austria;E-Commerce Competence Center, Wien, Austria;E-Commerce Competence Center, Wien, Austria;E-Commerce Competence Center, Wien, Austria;Institut für Softwaretechnik und Interaktive Systeme, Technische Universität Wien, Wien, Austria
Venue:
EC-Web'07 Proceedings of the 8th international conference on E-commerce and web technologies
Year:
2007

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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.