| Vol-3823 urn:nbn:de:0074-3823-0 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# HealthRecSys 2024
Health Recommender Systems 2024

### Proceedings of the 6th International Workshop on Health Recommender Systems (HealthRecSys 2024)
co-located with 18th ACM Conference on Recommender Systems (RecSys 2024)

### Bari, Italy, October 18, 2024.

Edited by

### Hanna Hauptman (1)
Christoph Trattner (2)
Helma Torkamaan (3)

(1) Utrecht University, the Netherlands
(2) University of Bergen, Norway
(3) Delft University of Technology, the Netherlands

## Table of Contents

- Preface

### Invited Talk

- Keynote: Healthy and Sustainable Food Recommendations Exploiting Natural Language Processing and Large Language Models 1
  Cataldo Musto

### Papers

- Tailoring Health: Contextual Variables In Health Recommender Systems 2-15
  Felix Reinsch, Thure Weimann, Jeannette Stark
- Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations 16-25
  Ine Coppens, Toon De Pessemier, Luc Martens
- Personalized Music Recommendation for People with Autism Spectrum Disorder 26-29
  Liliana Ardissono, Federica Cena, Noemi Mauro
- Recommending News Articles for Public Health Intelligence 30-40
  Diana F. Sousa, Nicolas Stefanovitch, Luigi Spagnolo
- Improving the prediction of individual engagement in recommendations using cognitive models 41-54
  Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez
- Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems 55-62
  Ayoub El Majjodi, Sohail Ahmed Khan, Alain D. Starke, Mehdi Elahi, Christoph Trattner
- Towards Recommender System Supported Contact Tracing for Cost-Efficient and Risk Aware Infection Suppression 63-66
  Vladimir Marbukh
- Enriching Clinical Sample Analysis with Biological Knowledge Graphs: A Preliminary Study 67-76
  Fatemeh Shad Bakhsh, Juan Manuel Rodriguez, Alessandro Ranieri, Kenneth Kastaniegaard, Daniele Dell'Aglio
- Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces 77-88
  Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro
- Enhancing Health Recommendations through Patient Metadata Integration: A Persona-Based Evaluation Approach 89-101
  Khushboo Thaker, Peter Brusilovsky, Daqing He, Youjia Wang, Mohammad Hassany, Behnam Rahdari, Heidi Donovan, Young Ji Lee
- Personalizing Exercise Recommendations with Explanations using Multi-Armed Contextual Bandit and Reinforcement Learning 102-112
  Parvati Naliyatthaliyazchayil, Deepishka Pemmasani, Navin Kaushal, Donya Nemati, Saptarshi Purkayastha
- Health Document Presentation in Patient-Centered Recommender Systems with Carousel Interfaces 113-121
  Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Thaker, Mohammad Hassany, Youjia Wang, Young Ji Lee, Heidi Donovan
- Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System 122-131
  Nafis Neehal, Vibha Anand, Kristin P. Bennett

2024-09-30: submitted by Helma Torkamaan, metadata incl. bibliographic data published under Creative Commons CC0
2024-11-05: published on CEUR-WS.org |valid HTML5|