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Tsvi Kuflik <[log in to unmask]>
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Tsvi Kuflik <[log in to unmask]>
Date:
Sun, 26 Jun 2016 16:16:59 +0300
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RecTour 2016

Workshop on Recommenders in Tourism at ACM RecSys 2016

Boston, USA

September 15th, 2016  

Submission deadline extended to July 1st, 2016

http://www.ec.tuwien.ac.at/rectour2016/

 

RecTour 2016 will focus on the specific challenges for recommender systems
in the tourism domain. In this domain, there are considerably more
complicated scenarios than finding the best product for a user. Planning a
vacation usually involves searching for a set of products that are
interconnected (e.g. means of transportation, lodging, attractions etc.),
with a rather limited availability, and where contextual aspects may have a
major impact (spatiotemporal context, social context, environmental
context). In addition and most importantly, products are emotionally
"loaded" and therefore decision taking is not based on rational and
objective criteria (i.e., system 2 thinking). 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. Additionally and in
contrast to many other domains, information providers are normally SMEs and
do not have full information about available opportunities. Moreover, there
is no single, standard format to house this information. Thus, given this
diversity, building effective recommendation systems within the tourism
domain is extremely challenging.

 

The rapid development of information and communication technologies (ICT) in
general and the Web in particular, has transformed the tourism domain
whereby travellers no longer rely on travel agents/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 renting a visitor guide that may be available, but
considered to be expensive and sometimes outdated. However, like in many
other cases, the blessing of the web comes with a curse - the curse of
information overload. Recommender systems were suggested as 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. This workshop is
focused on tourism will provide an opportunity for RecSys participants to
discuss specific issues of interest. We also hope to attract additional,
domain specific professionals that initially might not consider attending
RecSys.

 

The workshop aims at bringing together researchers and practitioners working
in the tourism recommendation domain, in order to look at the challenges
from the point of view of the user interactions as well as from the point of
view of service providers and from the points of view of additional
stakeholders as well (destination management organizations for instance).
All in all, the workshop aims at attracting presentations of novel ideas for
addressing these challenges and how to advance the current state of the art
in this field. The primary goal of this workshop is to provide a forum for
researchers and practitioners from different fields, e.g., tourism,
recommender systems, user modelling, user interaction, mobile, ubiquitous
and ambient technologies, artificial intelligence and web information
systems, to explore various practical use cases of applications of these
technologies in tourist recommender systems of the future. During the
workshop we aim to identify the typical user groups, tasks and roles in
order to achieve an adequate personalization and recommendation for tourism
applications. 

 

Important aspects and topics to be discussed evolve around (but are not
limited to):

. Specific applications and case studies (evaluation)

. Specific methods and techniques in the domain

. Novel ICT and its impact on travel and tourism

. Integrating data - exploiting data from various sources, i.e., catalogues,
Linked Open Data, and usage logs

. Context and Mobility

. Cold-Start Problem

. Preference Elicitation

. Emotions and Recommenders

. Interaction

. Interaction concepts with personal (mobile or desktop) and group (on-site
public or desktop) displays

. Information needs, information access (incl. visualisation) and search
patterns

. Collaboration, communication and sharing aspects in the process of tourist
information consumption

. Personalized explanations and feedback of recommendation systems

. Digital storytelling, narratives, smart summaries and recommendation
explanations

 

Authors of selected best papers will be invited to submit extended versions
of their papers to an upcoming special issue of the Journal of Information
Technology & Tourism (JITT) published by Springer.

 

Important Dates

Submission deadline: June 24th, 2016 extended to July 1st, 2016

Notification: July 15th, 2016 

Camera-ready deadline: July 29th, 2016

Deadlines refer to 23:59 (11:59pm) in the UTC time zone.

 

Submission Guidelines

Submission types are long research papers reporting on complete research (8
pages), short papers reporting on work in progress (4 pages), position
papers presenting novel ideas (2-4 pages) or demonstration systems
showcasing innovative aspects or providing the opportunity to interact
(demo-summaries 2 pages). All contributions must be relevant to the Call for
Papers of RecTour 2016. Especially encouraged are late breaking ideas and
results related to studies presented at the main conference.

 

RecTour 2016 submissions should be prepared in PDF format according to the
standard double-column ACM SIG proceedings format. The peer review process
is double-blind, i.e., all submissions must not include information
identifying the authors or their organization. All submissions and reviews
will be handled electronically through the EasyChair submission site:
https://easychair.org/conferences/?conf=rectour2016.

 

Organizers

. Daniel R. Fesenmaier, University of Florida, USA

. Tsvi Kuflik, The University of Haifa, Israel

. Julia Neidhardt, TU Wien, Austria

 

Contact: [log in to unmask] <mailto:[log in to unmask]> 


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