Workshop on Recommenders in Tourism

This half-day workshop addresses specific challenges for recommender systems in the
tourism domain. Planning a vacation usually involves searching for a set of products that are
interconnected (e.g., transportation, lodging, attractions) with limited availability, and
where contextual aspects may have a major impact (e.g., time, location, weather). RecTour
2019 aims at attracting presentations of novel ideas in order to advance the current state of
the art in the field of tourism recommenders; topics include specific applications and case
studies (evaluation), specific methods and techniques, context and mobility, the cold-start
problem, preference elicitation, and emotion and recommenders. Researchers and
practitioners from different fields are invited to submit research and position papers,
project ideas as well as demonstration systems and industry showcases.

  • Julia Neidhardt, TU Wien, Austria
  • Wolfgang W├Ârndl, TU Munich, Germany
  • Tsvi Kuflik, The University of Haifa, Israel
  • Markus Zanker, Free University of Bozen/Bolzano, Italy
  • Catalin-Mihai Barbu, University of Duisburg-Essen, Germany


Thursday, Sept 19, 2019, 14:00-17:30


Room 202+203

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