[AISWorld] Call for Papers: RecTour 2024 Workshop on Recommenders in Tourism at ACM RecSys

[Tsvi Kuflik]

Call for Papers

 

The tourism industry stands at the intersection of rapid technological
advancements and evolving consumer behaviors, reshaping how 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's 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'
experiential preferences and emotional aspirations requires a nuanced
understanding of their needs and desires.

 

Workshop Themes and Topics of Interest

 

RecTour 2024 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. We welcome submissions on a wide range of topics, including but not
limited to:

 

- Personalization in Tourism Recommendations: Advancements in personalized
recommendation algorithms tailored to individual preferences, encompassing
accommodation, activities, dining, and cultural experiences.

- Contextual Intelligence: 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: Fusion of diverse data sources, including
catalogs, user-generated content, and sensor data, to create comprehensive
and adaptive recommendation frameworks.

- Dynamic Pricing and Economics: Intersection of recommendation systems with
economic principles, including dynamic pricing models and personalized
promotion optimization.

- User Interaction and Experience: Innovative approaches to enhancing user
engagement and satisfaction through interactive interfaces, conversational
agents, and immersive technologies.

- Ethical and Responsible Recommendations: Ethical considerations and
implications of recommendation systems in tourism, including privacy
concerns, fairness, and transparency.

- Emerging Technologies: Transformative potential of emerging technologies,
including Large Language Models (LLMs) on the future of tourism
recommendation systems.

- Emotion in Tourism Recommendations: Role of emotion in shaping travel
decisions and integration of affective computing techniques into
recommendation systems to enhance user satisfaction and engagement.

- Addressing the Cold Start Problem: Strategies and algorithms to mitigate
the cold start challenge in tourism recommendation systems, particularly for
new users with limited historical data.

- Leveraging Social Media Insights: Utilization of social media data and
insights in tourism recommendation systems, enhancing personalization and
relevance of recommendations.

 

Submission Types and Guidelines

 

We invite submissions in the following categories:

 

- Long research papers: Complete research (16 pages maximum excluding
references).

- Short research papers: Work in progress (8 pages maximum excluding
references).

- Position papers: Reflections on emerging topics (4-8 pages excluding
references).

- Demonstration papers: Novel aspects or opportunities for interaction (4-8
pages maximum excluding references).

 

Please find all details here:
https://workshops.ds-ifs.tuwien.ac.at/rectour24/submission-types-and-guideli
nes/

 

Accepted papers will be included in the RecTour 2024 proceedings. At least
one author of each accepted paper must attend the workshop. No additional
authors can be added after acceptance.

 

Important Dates

 

- Submission deadline: August 2nd, 2024

- Notification of acceptance: August 27th, 2024

- Camera-ready deadline: September 10th, 2024

 

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

 

We look forward to your contributions and to seeing you at RecTour 2024!

 

Best regards,

 

RecTour 2024 Workshop Organizers

 

Tsvika

Tsvi Kuflik, PhD.

Professor of Information Systems,

  Information Systems department,

  The University of Haifa

  Email: tsvikak at is.haifa.ac.il <mailto:tsvikak at is.haifa.ac.il> 

  Home page: https://tsvikak.hevra.haifa.ac.il

  Tel: +972 4 8288511

  Fax: +972 4 8288283