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Catalin-Mihai Barbu <[log in to unmask]>
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Catalin-Mihai Barbu <[log in to unmask]>
Sat, 4 May 2019 17:58:00 +0200
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Workshop on Recommenders in Tourism
held in conjunction with ACM RecSys 2019
in Copenhagen, Denmark

*Deadline: July 1st, 2019*

The rapid development of information and communication technologies
(ICT) and the web transformed the tourism domain. Today, travelers no
longer rely on travel agents and agencies. Indeed, recent studies
indicate that they are now active in searching for information and
composing their vacation packages according to their specific
preferences. When onsite, they search for freely available information
about the site itself rather than buying/renting a visitor guide or
hiring a tour guide that may be available. However, like in many other
cases, the blessing of the Web comes with a curse -- the curse of
information overload.

Recommender systems are a practical tool for overcoming this information
overload. However, 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 2019 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.

Submission deadline: July 1st, 2019

Notification: July 29th, 2019

Camera-ready deadline: August 18th, 2019

Deadlines refer to 11:59pm (Anywhere on Earth).

Long research papers reporting on complete research (8 pages plus up to
one page references); Short papers reporting on work in progress (4
pages plus up to one page references); Position papers reflecting on
emerging topics (2-4 pages); Demonstration papers showcasing novel
aspects or providing the opportunity to interact (2 pages) as well as
project ideas discussing innovative research proposals and late breaking
ideas (2-4 pages). Moreover, we specifically invite industry to submit
relevant showcases as position or demo papers to the workshop.

RecTour 2019 submissions should be prepared in PDF format according to
the standard double-column ACM SIG proceedings format. The peer review
process is single-blind, handled electronically through EasyChair:

Accepted papers will be included in the RecTour 2019 proceedings and at
least one author of each accepted contribution must attend the workshop.
After acceptance, no additional authors can be added.

Julia Neidhardt, TU Wien, Austria
Wolfgang Wörndl, TU München, Germany
Tsvi Kuflik, The University of Haifa, Israel
Markus Zanker, Free University of Bozen/Bolzano, Italy
Catalin-Mihai Barbu, University of Duisburg-Essen, Germany

All questions about submissions should be emailed to
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