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ORCIDHealthRecSys@RecSys 2024: Bari, Italy
- Hanna Hauptmann, Christoph Trattner, Helma Torkamaan:
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. CEUR Workshop Proceedings 3823, CEUR-WS.org 2024
Invited Talk
- Cataldo Musto:
Keynote: Healthy and Sustainable Food Recommendations Exploiting Natural Language Processing and Large Language Models. 1
Papers
- Felix Reinsch, Thure Weimann, Jeannette Stark:
Tailoring Health: Contextual Variables In Health Recommender Systems. 2-15 - Ine Coppens, Toon De Pessemier, Luc Martens:
Explaining Decision-Making between Exploration and Repetition: Key Factors for Physical Activity Recommendations. 16-25 - Liliana Ardissono, Federica Cena, Noemi Mauro:
Personalized Music Recommendation for People with Autism Spectrum Disorder. 26-29 - Diana F. Sousa, Nicolas Stefanovitch, Luigi Spagnolo:
Recommending News Articles for Public Health Intelligence. 30-40 - Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez:
Improving the prediction of individual engagement in recommendations using cognitive models. 41-54 - Ayoub El Majjodi, Sohail Ahmed Khan, Alain D. Starke, Mehdi Elahi, Christoph Trattner:
Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems. 55-62 - Vladimir Marbukh:
Towards Recommender System Supported Contact Tracing for Cost-Efficient and Risk Aware Infection Suppression. 63-66 - Fatemeh Shad Bakhsh, Juan Manuel Rodriguez, Alessandro Ranieri, Kenneth Kastaniegaard, Daniele Dell'Aglio:
Enriching Clinical Sample Analysis with Biological Knowledge Graphs: A Preliminary Study. 67-76 - Gaetano Dibenedetto, Marco Polignano, Pasquale Lops, Giovanni Semeraro:
Prompting Large Language Models for Tailored Exercise Recommendations in Office Spaces. 77-88 - Khushboo Thaker, Peter Brusilovsky, Daqing He, Youjia Wang, Mohammad Hassany, Behnam Rahdari, Heidi Donovan, Young Ji Lee:
Enhancing Health Recommendations through Patient Metadata Integration: A Persona-Based Evaluation Approach. 89-101 - Parvati Naliyatthaliyazchayil, Deepishka Pemmasani, Navin Kaushal, Donya Nemati, Saptarshi Purkayastha:
Personalizing Exercise Recommendations with Explanations using Multi-Armed Contextual Bandit and Reinforcement Learning. 102-112 - Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Thaker, Mohammad Hassany, Youjia Wang, Young Ji Lee, Heidi Donovan:
Health Document Presentation in Patient-Centered Recommender Systems with Carousel Interfaces. 113-121 - Nafis Neehal, Vibha Anand, Kristin P. Bennett:
Design and Assessment of Representative Hybrid Clinical Trials using Health Recommender System. 122-131
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