Workshop on Recommenders in Tourism

This one-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., spatiotemporal context). RecTour 2016 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 emotions and recommenders. Researchers and practitioners from different fields are invited to submit research and position papers as well as demonstration systems.

  • Daniel Fesenmaier, University of Florida, USA
  • Tsvi Kuflik, The University of Haifa, Israel
  • Julia Neidhardt, TU Wien, Austria


Thursday, Sept 15, 2016, 09:00-17:30


IBM (2224)

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