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.
Organizers
- Daniel Fesenmaier, University of Florida, USA
- Tsvi Kuflik, The University of Haifa, Israel
- Julia Neidhardt, TU Wien, Austria
Website
http://www.ec.tuwien.ac.at/rectour2016/
Date
Thursday, Sept 15, 2016, 09:00-17:30
Location
IBM (2224)