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RecTour 2021 - Workshop on Recommenders in Tourism
Online in Conjunction with ACM RecSys 2021 (September 27, 2021 to October 1st, 2021)
https://web.ec.tuwien.ac.at/rectour21/

Call for Papers

The rapid development of information and communication technologies (ICT) and the web completely transformed the tourism domain and created new online intermediaries competing and replacing traditional travel agents and agencies. Nowadays travelers actively search for information and compose their vacation packages according to their individual preferences. When onsite, they also predominantly rely on digital companions and tools  to plan, schedule and enjoy their stay. 

Recommender systems have thus developed to become indispensable tools for overcoming information overload and matching users with a wide variety of different tourism services such as transport, accommodation or activities and events. However, compared to, for instance, online commerce the tourism domain is substantially more complicated, and as such, creates huge challenges for those designing tourism-focused recommender systems. Planning a vacation usually involves searching for a set of products that are interconnected (e.g., means of transportation, lodging, attractions), with a rather limited availability, and where contextual aspects may have a major impact (e.g., time, location, social context, environmental context). In addition, products are emotionally “loaded” and considered experience goods; therefore, decision making is not only based on rational and objective criteria. As such, providing the right information to visitors of a tourism site at the right time about the site itself and various services nearby is challenging.

RecTour 2021 will therefore focus on the specific challenges for recommender systems in tourism and will bring together researchers and practitioners from different fields, such as tourism, recommender systems, user modelling, user interaction, mobile, ubiquitous and ambient technologies, artificial intelligence and web information systems, to discuss and illustrate challenges and applications of these technologies in tourism recommender systems of the future. Important aspects and topics to be discussed revolve around (but are not limited to):
	• Specific applications and case studies (evaluation);
	• Specific methods and techniques for tourism recommenders;
	• Novel ICT and their impact on travel and tourism;
	• Data integration from various sources (e.g., catalogues, Linked Open Data, usage logs);
	• Context and mobility in tourism;
	• Tourist trip recommendation and route planning;
	• Cold-start problem in the context of tourism recommenders;
	• Preference elicitation in tourism;
	• Emotions and tourism recommenders;
	• Personalized interaction and conversation strategies
	• Repercussions of COVID-19

Important Dates
Submission deadline: July 29th, 2021
Notification: August 21st, 2021
Camera-ready deadline: September 4th, 2021
Deadlines refer to 11:59pm (Anywhere on Earth).

Submission Types and Guidelines
Long research papers reporting on complete research (14 pages maximum excluding references); short research papers reporting on work in progress (7 pages maximum excluding references); position papers reflecting on emerging topics (4-7 pages excluding references); demonstration papers showcasing novel aspects or providing the opportunity to interact (4 pages maximum excluding references). Moreover, we specifically invite industry to submit relevant showcases as position or demo papers to the workshop.  
RecTour 2021 submissions should be prepared in PDF format according to the single-column ACM publication workflow (https://www.acm.org/publications/taps/word-template-workflow). The peer review process is single-blind, handled electronically through EasyChair: https://easychair.org/conferences/?conf=rectour2021.
Accepted papers will be included in the RecTour 2021 proceedings and at least one author of each accepted contribution must attend the workshop. After acceptance, no additional authors can be added.

Organizers
	• Julia Neidhardt, TU Wien, Austria
	• Wolfgang Wörndl, TU Munich, Germany
	• Tsvi Kuflik, The University of Haifa, Israel
	• Markus Zanker, Free University of Bozen-Bolzano, Italy
 
Contact: [log in to unmask]

—

Dr. Wolfgang Wörndl
Technische Universität München
Fakultät für Informatik (I11)
Lehrstuhl für Connected Mobility

Tel. +49 89 289 18686
[log in to unmask]
www.in.tum.de/~woerndl
Office: room 01.05.043


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