The 6th Workshop on Health Recommender Systems co-located with ACM RecSys 2024
We are pleased to announce the Workshop on Health Recommender Systems co-located with the 18th ACM Conference on Recommender Systems, 18 October 2024, Bari, Italy.
Objectives
Background: The HealthRecSys workshop discussions over the years have spanned a broad spectrum of topics, reflecting the multifaceted nature of health recommender systems and the diverse applications and challenges of recommender systems in the health domain. Previous workshops encouraged discussions of the potential of recommender systems in the health domain, various new applications, associated challenges, and practical solutions for existing systems or scenarios. These discussions have not only introduced new challenges to the recommender system community but have also underscored the critical role of human oversight in ensuring the reliability and safety of health recommendations. The diversity of application domains discussed, from mental health to nutrition, and the variety of stakeholders involved, from patients to healthcare providers, underscore the complexity and importance of this research area.
Goals: Our aim with the 6th HealthRecSys is to reignite these conversations and provide a forward-thinking platform that revisits the foundational elements that have contributed to the field's growth. However, the workshop aspires to do more by infusing new perspectives and tackling the most pressing global challenges and technological innovations head-on. The workshop will explore contemporary themes such as the impact of global health crises on recommender systems, the integration of Large Language Models and other generative AI models in health applications, the increasing emphasis on personalized and self-managed care, and the increasing focus on health equity leading to consideration of literacy, accessibility and monetary means when building health recommender systems. These topics not only reflect the current state of the world but also align with the broader shifts towards ethical AI, and the need for systems that can adapt to and address individual health and care needs. Furthermore, HealthRecSys is dedicated to strengthening the network of researchers working on health recommender systems, drawing participants from an array of health and care domains. This effort is aimed at cultivating a cross-disciplinary community that promotes collaboration among recommender systems specialists, healthcare professionals, ethicists, and policymakers, among others. To enhance cross-sector collaboration, the 6th HealthRecSys workshop will encourage joint projects and funding prospects, in addition to promoting the sharing of resources, datasets, and tools among scholars and industry practitioners.
The workshop is calling for submissions on a wide array of topics within health recommender systems. This includes systems aimed at health promotion, preventive, curative care, and recommender systems that are health-aware. The scope of topics for the workshop is extensive, covering various aspects within the domain of health recommender systems and health-aware recommender systems, which include, but are not limited to:
- Accessibility, Usability, and Augmented Decision-Making
- Adherence and Patient (User) Compliance
- Algorithms and Recommendation Strategies
- Behavioral Interventions
- Case studies of Health Recommender Systems, Success and Failures and Lesson learned
- Domain Knowledge Representation
- Electronic Health Records Integration
- Empowerment and Autonomy
- Ethics
- Evaluation and Metrics
- Equity
- Explanations and Justifications in Health Recommendations
- From Participatory Design and Co-Creation to HealthRecSys
- Gamification and Serious Games
- Generative AI
- Health-Aware Recommender Systems
- Health and Care Workers and Interactive Intelligent Systems
- Human/Expert-in-the-Loop
- Human-RecSys Collaboration for Personalized Health
- Interfaces, Visual, Context-aware, Conversational, Mobile
- In-the-Wild Personalization
- Longitudinal Studies
- LLM-based recommendations in Health
- Medical Evaluation Techniques
- Mobile Health Recommender Systems
- Multi-objective Challenges
- Multi-stakeholder Challenges
- Patient Needs/Satisfaction
- Personalization
- Persuasion/Nudging/Behavioral Change
- Pervasive Systems
- Privacy and Security
- Research Methods and tools
- Recommendations VS. Not Clinical Decision Supports
- Regulations and Standards
- Self-Care
- Trust and Transparency
- User Interaction Design
- User Profiling and Adaptive Systems
- Value-Driven Design of Health Recommender Systems
- Wearables for Recommender Systems
Submission
We solicit short research papers (4-6 pages) and short position papers (2 pages + references), both in the ACM conference paper style-double-column format. Further details would follow. Participants can decide between a research focused submission and a project focused submission..
Submission category research: innovative research ideas, preliminary findings, or system prototypes that contribute new knowledge to the field
Submission category project: presentations on funded research initiatives, collaborations between industry and academia, or partnerships between healthcare entities and research institutions.
Submission guidelines: All submitted papers must
- be written in English;
- contain author names, affiliations, and email addresses;
- be formatted according to the ACM SIG Proceedings Template -double-column format, with a font size no smaller than 9pt;
- be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size;
Submissions are encouraged to include links or demos as attachments to enhance their presentation. All submissions will undergo a rigorous peer-review process to ensure quality and originality. It is imperative that submitted works are not concurrently under review at any other conference, workshop, or journal and contain original, unpublished contributions. Accepted papers will be published according to the ACM RECSYS 2024 WS publication rules.
Please use the submission link provided by RecSys to submit your paper via
EasyChair
Important dates
- Paper submission deadline: August 30th, 2024 (AOE)
- Author notification: September 16th, 2024
- Camera-ready version deadline: September 22th, 2024
- HealthRecSys Workshop: October 18th, 2024
- RecSys conference: 14 – 18 October 2024
Program
Keynote: Cataldo Musto
Title: Healthy and Sustainable Food Recommendations Exploiting Natural Language Processing and Large Language Models
Abstract:
The growing focus on healthy and sustainable eating requires innovative tools to support personalized recommendations. This talk will examine how Natural Language Processing (NLP) and Large Language Models (LLMs) can enhance food recommendation systems, enabling them to provide personalized suggestions that promote both individual well-being and environmental responsibility. In particular, we will first show the effectiveness of knowledge-aware recommendation models that encode information about healthy food consumption. Next, we emphasize the importance of natural language processing techniques, which can be used to nudge toward healthier food choices through automatically generated explanations. Finally, we will show recent advances aiming also to include the concept of sustainability in the design and development of conversational food recommenders. In particular, we will discuss a pipeline based on LLMs that identifies healthier and more sustainable food alternatives that can be suitable for the user. We will conclude the presentation by sketching several future directions of this exciting research line.
Bio:
Cataldo Musto is an Associate Professor at the Department of Computer Science, University of Bari. His research focuses on the adoption of NLP, LLMs, and semantic content representation strategies in knowledge-aware recommender systems and AI algorithms. He authored around 90 scientific articles, and he is one of the authors of the textbook “Semantics in Adaptive and Personalized Systems: Methods, Tools and Applications'', edited by Springer. He is also involved in the organization of conferences such as ACM UMAP and ACM RecSys as Student Volunteers Chair in 2019, Social Chair in 2020, Poster and Demo Chair in 2022, Doctoral Symposium Chair in 2023, and Workshops Chair in 2024. In 2025, he will be the Program Chair of ACM UMAP conference. Since 2016, he has given several tutorials at UMAP and ESWC conferences about the exploitation of semantics-aware representation in content-based personalized systems. Since 2019, he has organized a series of workshops on Explainable User Modeling (ExUM), Knowledge-aware Recommender Systems (KARS) and Explainable Artificial Intelligence (XAI).
Schedule (Room D)
- 09:00 - 10:30 : Opening and keynote
- 10:30 - 11:00 : Coffee Break (Atrio Cherubini)
- 11:00 - 12:30 : Interactive Session (Collaborative work groups)
- 12:30 - 14:15 : Lunch Break (Atrio Cherubini)
- Poster display and presentations during lunch and coffee breaks
- 14:15 - 15:15 : Paper Session I
- Improving the prediction of individual engagement in recommendations using cognitive models
- Personalized Music Recommendation for People with Autism Spectrum Disorder
- Enriching Clinical Sample Analysis with Biological Knowledge Graphs: A Preliminary Study
- Enhancing Health Recommendations through Patient Metadata Integration: A Persona-Based Evaluation Approach
- Recommending News Articles for Public Health Intelligence
- Health Document Presentation in Patient-Centered Recommender Systems with Carousel Interfaces
- Position Paper: Towards Recommender System Supported Contact Tracing for Cost-Efficient and Risk Aware Infection Suppression
- 15:15 - 15:45 : Panel Session I with Authors of Paper Session I
- 15:45 - 16:15 : Coffee Break (Atrio Cherubini)
- 16:15 – 17:15 : Paper Session II
- Tailoring Health: Contextual Variables In Health Recommender Systems
- Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces
- Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations
- Personalizing Exercise Recommendations with Explanations using Multi-Armed Contextual Bandit and Reinforcement Learning
- Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems
- Pitch Presentation: Research in progress - Personalized dietary recommendations through augmentation of rule-based systems with LLM-powered RAG
- Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System
- 17:15 - 17:40 : Panel Session II with Authors of Paper Session II
- 17:40 - 17:45 : Wrap up
Accepted papers
Proceedings
-
Tailoring Health: Contextual Variables In Health Recommender Systems
Felix Reinsch,
Thure Weimann and and
Jeannette Stark
-
Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations
Ine Coppens,
Toon De Pessemier and
Luc Martens
-
Personalized Music Recommendation for People with Autism Spectrum Disorder
Liliana Ardissono,
Federica Cena and
Noemi Mauro
-
Recommending News Articles for Public Health Intelligence
Diana F. Sousa,
Nicolas Stefanovitch and
Luigi Spagnolo
-
Improving the prediction of individual engagement in recommendations using cognitive models
Roderick Seow,
Yunfan Zhao,
Duncan Wood,
Milind Tambe and
Cleotilde Gonzalez
-
Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems
Ayoub El Majjodi,
Sohail Ahmed Khan,
Alain D. Starke,
Mehdi Elahi and
Christoph Trattner
-
Position Paper: Towards Recommender System Supported Contact Tracing for Cost-Efficient and Risk Aware Infection Suppression
Vladimir Marbukh
-
Enriching Clinical Sample Analysis with Biological Knowledge Graphs: A Preliminary Study
Fatemeh Shad Bakhsh,
Juan Manuel Rodriguez,
Alessandro Ranieri,
Kenneth Kastaniegaard and
Daniele Dell'Aglio
-
Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces
Gaetano Dibenedetto,
Marco Polignano,
Pasquale Lops and
Giovanni Semeraro
-
Enhancing Health Recommendations through Patient Metadata Integration: A Persona-Based Evaluation Approach
Khushboo Thaker,
Peter Brusilovsky,
Daqing He,
Youjia Wang,
Mohammad Hassany,
Behnam Rahdari,
Heidi Donovan and
Young Ji Lee
-
Personalizing Exercise Recommendations with Explanations using Multi-Armed Contextual Bandit and Reinforcement Learning
Parvati Naliyatthaliyazchayil,
Deepishka Pemmasani,
Navin Kaushal,
Donya Nemati and
Saptarshi Purkayastha
-
Health Document Presentation in Patient-Centered Recommender Systems with Carousel Interfaces
Behnam Rahdari,
Peter Brusilovsky,
Daqing He,
Khushboo Thaker,
Mohammad Hassany,
Youjia Wang,
Young Ji Lee and
Heidi Donovan
-
Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System
Nafis Neehal,
Vibha Anand and
Kristin P. Bennett
Download the HealthRecSys 2024 proceedings as a single PDF file (30 Mb)
Committee
Workshop Chairs
Program Committee
- Alejandro Bellogin, University of Madrid, Spain
- Arianna Boldi, Università di Torino, Italy
- Ludovico Boratto, University of Cagliari, Italy
- Ine Coppens, University of Ghent, Belgium
- Robin DeCroon, KU Leuve, Belgium
- Carlos de Lannoy, TU Delft, the Netherlands
- Allegra DeFilippo, DISI, University of Bologna, Italy
- Gaetano Dibenedetto, University of Bari, Italy
- Angelo Geninatti Cossatin, University of Torino, Italy
- Morgan Harvey, The University of Sheffield, United Kingdom
- Eelco Herder, Utrecht University, the Netherlands
- Anita Honka, Firstbeat Analytics/Garmin, Finland
- Santiago Hors-Fraile, Adhera Health, Spain
- Anastasiia Klimashevskaia, University of Bergen, Norway
- Elisabeth Lex, Graz University of Technology, Austria
- Bernd Ludwig, University of Regensburg, Germany
- Noemi Mauro, University of Torino, Italy
- Cataldo Musto, University of Bari, Italy
- Marco Polignano, University of Bari, Italy
- Miguel Angel Portaz Collado, UNED. Madrid, Spain
- Olga Santos, UNED. Madrid, Spain
- Lukas Schulze Balhorn , TU Delft, the Netherlands
- Alessandro Silacci, University of Lausanne, Switzerland
- Alain Starke, University of Amsterdam, the Netherlands
- Panagiotis Symeonidis, University of the Aegean, Greece
- Martin Wiesner, Heilbronn University, Germany
- Martijn Willemsen, Eindhoven University of Technology, the Netherlands
Venue
Location
Please visit the RecSys 2024 website for more information about the virtual setting:
https://recsys.acm.org/recsys24/location/
Contact
If you have questions regarding the workshop, do not hesitate to contact the workshop chairs: healthrecsys@gmail.com
Previous Workshops on Healthrecommender Systems
All papers of the 2024 Workshop in Health Recommender Systems can be found here.
All papers of the 2020 Workshop in Health Recommender Systems can be found here.
All papers of the 2019 Workshop in Health Recommender Systems can be found here.
All papers of the 2018 Workshop in Health Recommender Systems can be found here.
All papers of the 2017 Workshop in Health Recommender Systems can be found here.
All papers of the 2016 Workshop in Health Recommender Systems can be found here.