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.
| Original language | English |
|---|---|
| Article number | 5 |
| Pages (from-to) | 781-786 |
| Number of pages | 6 |
| Journal | User Modeling and User-Adapted Interaction |
| Volume | 32 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 14 Nov 2022 |
Bibliographical note
DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature B.V.
Keywords
- Health recommender system
- Health-aware computing
- Health-aware information systems
- Recommender systems
- Well-being
