Abstract
Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender systems have grown and matured into reliable and ubiquitous systems in today’s digital landscape. Relying on this maturity, the application of recommender systems for health and well-being has seen a rise in recent years, paving the way for tailored and personalized systems that support caretakers, caregivers, and other users in the health domain. In this introduction, we give a brief overview of the stakes, the requirements, and the possibilities that recommender systems for health and well-being bring.
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CITATION STYLE
Hauptmann, H., Said, A., & Trattner, C. (2022, November 1). Research directions in recommender systems for health and well-being: A Preface to the Special Issue. User Modeling and User-Adapted Interaction. Springer Science and Business Media B.V. https://doi.org/10.1007/s11257-022-09349-4
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