Workshop on Recommenders in Tourism

This 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 2022 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, repercussions of COVID-19, context and mobility, preference elicitation, and emotion and recommenders. Researchers and practitioners from different fields are invited to submit research and position papers as well as demonstration systems and industry showcases.

Organizers
  • Julia Neidhardt, TU Wien, Austria
  • Wolfgang Wörndl, TU München, Germany
  • Tsvi Kuflik, The University of Haifa, Israel
  • Dmitri Goldenberg, Booking.com, Israel
  • Markus Zanker, Free University of Bozen/Bolzano, Italy
Website

https://web.ec.tuwien.ac.at/rectour22/

Date

Full day.

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