RecTour 2026 (co located with RecSys 2026) Call for Papers deadline extended until July 27th

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The tourism industry stands at the intersection of rapid technological =
advancements and evolving consumer behaviors, reshaping the way =
individuals explore, plan, and experience travel. The proliferation of =
information and communication technologies (ICT) and the widespread =
adoption of online platforms have ushered in a new era of travel, =
empowering travelers to curate bespoke experiences tailored to their =
unique preferences and interests. From researching destinations to =
booking accommodations and activities, today=E2=80=99s travelers rely =
heavily on digital companions and recommendation systems to navigate the =
vast landscape of tourism services and offerings.

Recommender systems have emerged as indispensable tools in the modern =
travel ecosystem, offering users personalized recommendations and =
alleviating the burden of information overload. However, designing =
effective recommender systems for the tourism domain presents a myriad =
of challenges distinct from traditional e-commerce contexts. In tourism, =
recommendations must account for interconnected products with limited =
availability, contextual factors such as time, location, and social =
dynamics, and the emotive nature of travel decision-making. Crafting =
recommendations that resonate with users=E2=80=99 experiential =
preferences and emotional aspirations requires a nuanced understanding =
of their needs and desires.

RecTour 2026, the 10th RecTour workshop, seeks to delve deeper into the =
evolving landscape of tourism recommendation systems by convening =
researchers and practitioners from diverse disciplines. By fostering =
interdisciplinary dialogue among experts in tourism, recommender =
systems, user modeling, artificial intelligence, and beyond, the =
conference aims to address the unique challenges and opportunities =
inherent in designing next-generation tourism recommendation systems.

Topics of Interest:

* Personalization in Tourism Recommendations: Delve into advancements in =
personalized recommendation algorithms tailored to individual =
preferences, encompassing accommodation, activities, dining, and =
cultural experiences.

* Contextual Intelligence: Explore the integration of contextual factors =
such as location, time, social dynamics, and environmental conditions =
into recommendation systems to enhance relevance and user satisfaction.

* Multi-Modal Recommender Systems: Investigate the fusion of diverse =
data sources, including catalogues, user-generated content, and sensor =
data, to create comprehensive and adaptive recommendation frameworks.

* Dynamic Pricing and Economics: Examine the intersection of =
recommendation systems with economic principles, including dynamic =
pricing models, personalized promotion optimization etc.

* User Interaction and Experience: Discuss innovative approaches to =
enhancing user engagement and satisfaction through interactive =
interfaces, conversational agents, and immersive technologies.

* Ethical and Responsible Recommendations: Address the ethical =
considerations and implications of recommendation systems in tourism, =
including privacy concerns, fairness, and transparency.

* Emerging Technologies: Explore the transformative potential of =
emerging technologies, including Large Language Models (LLMs) and =
agentic systems, on the future of tourism recommendation systems.

* Emotion in Tourism Recommendations: Explore the role of emotion in =
shaping travel decisions and the integration of affective computing =
techniques into recommendation systems to enhance user satisfaction and =
engagement.

* Addressing the Cold Start Problem: Investigate strategies and =
algorithms to mitigate the cold start challenge in tourism =
recommendation systems, particularly for new users with limited =
historical data, ensuring personalized and relevant recommendations from =
the outset.

* Leveraging Social Media Insights: Investigate the utilization of =
social media data and insights in tourism recommendation systems. =
Explore how social media platforms can provide valuable user-generated =
content, sentiment analysis, and social network information to enhance =
the personalization and relevance of recommendations.

Submission Types and Guidelines Research Track:

Long research papers reporting on complete research (16 pages maximum =
excluding references); short research papers reporting on work in =
progress (8 pages maximum excluding references); position papers =
reflecting on emerging topics (4-8 pages excluding references); =
demonstration papers showcasing novel aspects or providing the =
opportunity to interact (4-8 pages maximum excluding references). =
Moreover, we specifically invite the industry to submit relevant =
showcases as position or demo papers to the workshop.

RecTour 2026 submissions should be prepared in PDF format using the =
CEUR-ART style (single column). An Overleaf template is available at  =
<https://www.overleaf.com/latex/templates/template-for-submissions-to-ceu=
r-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw> =
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur=
-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw. An offline version, =
which also contains a Word template, can be downloaded from  =
<http://ceur-ws.org/Vol-XXX/CEURART.zip> =
http://ceur-ws.org/Vol-XXX/CEURART.zip. The peer review process is =
single-blind and will be handled electronically through EasyChair.

Accepted papers will be included in the RecTour 2026 proceedings and at =
least one author of each accepted contribution must attend the workshop. =
After acceptance, no additional authors can be added.


Submission Process


* Submission deadline: July 27, 2026

* Notification: August 14, 2026

* Camera-ready deadline: August 28, 2026

Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time =
zone.

Submission Link:  =
<https://easychair.org/conferences/?conf=3Drecsys2026workshops> =
https://easychair.org/conferences/?conf=3Drecsys2026workshops
(Select track =E2=80=9CWorkshop on Recommenders in Tourism=E2=80=9D)

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Tsvika

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Tsvi Kuflik, PhD.

  Professor of Information Systems

  The University of Haifa

  Email:  <mailto:[email protected]> [email protected]

  Home page:  <http://sites.hevra.haifa.ac.il/tsvikak/> =
http://sites.hevra.haifa.ac.il/tsvikak/

  Tel: +972 4 8288511

  Fax: +972 4 8288283



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