Workshop on Recommenders in Tourism
This one-day workshop held in conjunction with RecSys 2017 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 2017 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.
Organizers
- Julia Neidhardt, TU Wien, Austria
- Daniel Fesenmaier, University of Florida, USA
- Tsvi Kuflik, The University of Haifa, Israel
- Wolfgang Wörndl, TU München, Germany
Website
http://www.ec.tuwien.ac.at/rectour2017/
Date
Sunday, Aug 27, 2017, 09:00-17:30
Location
Room 3













