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.
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Berger, H., Denk, M., Dittenbach, M., Pesenhofer, A., Merkl, D. (2007). Photo-Based User Profiling for Tourism Recommender Systems. In: Psaila, G., Wagner, R. (eds) E-Commerce and Web Technologies. EC-Web 2007. Lecture Notes in Computer Science, vol 4655. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74563-1_5
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DOI: https://doi.org/10.1007/978-3-540-74563-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74562-4
Online ISBN: 978-3-540-74563-1
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