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Evaluating Recommender Systems in Tourism — A Case Study from Austria

In: Information and Communication Technologies in Tourism 2008

Author

Listed:
  • Markus Zanker

    (University Klagenfurt)

  • Matthias Fuchs

    (e-tourism competence center Austria (ECCA))

  • Wolfram Höpken

    (e-tourism competence center Austria (ECCA))

  • Mario Tuta

    (e-tourism competence center Austria (ECCA))

  • Nina Müller

    (e-tourism competence center Austria (ECCA))

Abstract

Recommender systems (RS) are employed to personalize user interaction with (e.g. tourism) web-sites, supporting both navigation through large service assortments and the configuration of individual service packages. Depending on the interaction strategy, RS are either utilized to elicit users’ tastes and preferences or to stimulate desire for different offerings. In addition, as a potentially rich source of digital traces, RS also act as a repository for marketing intelligence. Web-usage mining is an accepted approach to analyse web-usage behaviour based on information traces left by the web-user (Mobasher, 2007). This paper proposes an empirically tested approach which combines typical web-log data with user feedback gathered by an interactive travel advisory system developed for an Austrian spa-resort. The proposed approach focuses on evaluating the RS with respect to efficiency, effectiveness and actionable marketing intelligence.

Suggested Citation

  • Markus Zanker & Matthias Fuchs & Wolfram Höpken & Mario Tuta & Nina Müller, 2008. "Evaluating Recommender Systems in Tourism — A Case Study from Austria," Springer Books, in: Peter O’Connor & Wolfram Höpken & Ulrike Gretzel (ed.), Information and Communication Technologies in Tourism 2008, pages 24-34, Springer.
    • Handle: RePEc:spr:sprchp:978-3-211-77280-5_3
    DOI: 10.1007/978-3-211-77280-5_3
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