short-paper

Towards Health (Aware) Recommender Systems

Authors:

Hanna Schäfer,

Santiago Hors-Fraile,

Raghav Pavan Karumur,

André Calero Valdez,

Helma Torkamaan,

Christoph TrattnerAuthors Info & Claims

DH '17: Proceedings of the 2017 International Conference on Digital Health

Pages 157 - 161

https://doi.org/10.1145/3079452.3079499

Published: 02 July 2017 Publication History

Abstract

People increasingly use the Internet for obtaining information regarding diseases, diagnoses and available treatments. Currently, many online health portals already provide non-personalized health information in the form of articles. However, it can be challenging to find information relevant to one's condition, interpret this in context, and understand the medical terms and relationships. Recommender Systems (RS) already help these systems perform precise information filtering. In this short paper, we look one step ahead and show the progress made towards RS helping users find personalized, complex medical interventions or support them with preventive healthcare measures. We identify key challenges that need to be addressed for RS to offer the kind of decision support needed in high-risk domains like healthcare.

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Gupta MSinghal STomar A(2025)Navigating the Landscape: A Comprehensive Survey on Healthcare Recommendation SystemsIntelligent System and Data Analysis10.1007/978-981-97-5200-3_32(457-470)Online publication date: 28-Jan-2025
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Index Terms

Towards Health (Aware) Recommender Systems
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Information systems
  1. Information systems applications
    1. Decision support systems

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cover image ACM Other conferences

DH '17: Proceedings of the 2017 International Conference on Digital Health

July 2017

256 pages

ISBN:9781450352499

DOI:10.1145/3079452

General Chair:
Patty Kostkova
University College London
,
Program Chairs:
Floriana Grasso
University of Liverpool
,
Carlos Castillo
Eurecat
,
Yelena Mejova
QCRI
,
Arnold Bosman
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Published: 02 July 2017

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DH '17: International Conference on Digital Health

July 2 - 5, 2017

London, United Kingdom

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Cited By

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https://doi.org/10.2196/60138
Naveed SHusnain M(2025)A drug recommendation system based on response prediction: Integrating gene expression and K-mer fragmentation of drug SMILES using LightGBMIntelligence-Based Medicine10.1016/j.ibmed.2025.10020611(100206)Online publication date: 2025
https://doi.org/10.1016/j.ibmed.2025.100206
Gupta MSinghal STomar A(2025)Navigating the Landscape: A Comprehensive Survey on Healthcare Recommendation SystemsIntelligent System and Data Analysis10.1007/978-981-97-5200-3_32(457-470)Online publication date: 28-Jan-2025
https://doi.org/10.1007/978-981-97-5200-3_32
Kecki VSaid A(2024)Understanding Fairness in Recommender Systems: A Healthcare PerspectiveProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3691711(1125-1130)Online publication date: 8-Oct-2024
https://dl.acm.org/doi/10.1145/3640457.3691711
Hauptmann HTrattner CTorkamaan H(2024)The 6th International Workshop on Health Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3687113(1232-1236)Online publication date: 8-Oct-2024
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Meßmer LHeld PBejan AKunze CReich C(2024)Designing a Dementia Caregiver-Centered Recommendation and Context-Aware AI Media Analytical Application: A Comprehensive System Requirements AnalysisInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2344913(1-20)Online publication date: 9-May-2024
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Jansen LBennin Kvan Kleef EVan Loo E(2024)Online grocery shopping recommender systems: common approaches and practicesComputers in Human Behavior10.1016/j.chb.2024.108336(108336)Online publication date: Jun-2024
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Tiribelli SCalvaresi D(2024)Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical AnalysisScience and Engineering Ethics10.1007/s11948-024-00479-z30:3Online publication date: 27-May-2024
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