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., 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.
Please find the Call for Papers here or as attachment to this post.
• Daniel R. Fesenmaier, University of Florida, USA
• Tsvi Kuflik, The University of Haifa, Israel
• Julia Neidhardt, TU Wien, Austria
Contact: rectour2016 [at] ec.tuwien.ac.at